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Neil Leiser

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AI StoriesAI StoriesWhy Data Scientists Don’t Get Hired — And How to Fix It with Dawn Choo #61Our guest today is Dawn Choo, founder of Interview Master and ex Data Scientist from Amazon and Meta. In our conversation, we first dive into Dawn's past Data Science projects at Amazon and Instagram. She explains how a pet project skyrocketed her career at Amazon and also shares details on the most impactful project that she worked on at Instagram. We then discuss Dawn's experience living in a van for a year before digging into Interview Master: a platform to help Data Scientists and Data Analysts land their dream job while leveraging AI agents to pr...2025-06-2654 minAI StoriesAI StoriesPolars: Fast & Efficient Data Manipulation with Ritchie Vink #60Our guest today is Ritchie Vink, CEO & Founder of Polars: an open source data manipulation library known for being extremely fast. As of today, polars has over 32k stars on github. In our conversation, Ritchie first explains how Polar which started as a side project evolved to what it is today. We then discuss the differences between Polars and Pandas, why Polars is fast and optimised and dig into Polars cloud: a platform which manages the compute infrastructure, allowing users to focus solely on writing queries. If you enjoyed the episode, please leave a 5 star re...2025-04-2442 minAI StoriesAI StoriesHow He Developed the World's Best Search Agent with Philippe Mizrahi #59Our guest is Philippe Mizrahi, CEO of Linkup: a french startup building the world's best search agents. In our conversation, Philippe first shares how he got into search by building an internal dataset search tool at Lyft. We then dive into Linkup where Phil explains how linkup started, how it evolved and how they managed to build the best search agents achieving state-of-the-art results on OpenAI SimpleQA dataset. If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.👉 From beginner to advanced LLM developer course by To...2025-04-0356 minAI StoriesAI StoriesBuilding Production Grade Agents with Samuel Colvin #58Our guest is Samuel Colvin, Co-Founder and CEO of pydantic: a data validation library with millions of downloads per month. In our conversation, we first discuss Pydantic and their observability platform: logfire. We then dive into agents where Samuel shares his vision on how to build production ready agents and what makes PydanticAI different than other frameworks. If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.👉 From beginner to advanced LLM developer course by Towards AI (use the code AISTORIES10 to get a 10% discount): https...2025-03-2049 minAI StoriesAI Stories11 years at Google with Max Buckley #57👉 From beginner to advanced LLM developer course by Towards AI (use the code AISTORIES10 to get a 10% discount): https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev?ref=63e5e3👉 8-hour GenAI Primer course by Towards AI (use the code AISTORIES10 to get a 10% discount): https://academy.towardsai.net/courses/8-hour-genai-primer?ref=63e5e3Our guest today is Max Buckley, Senior Software Engineer at Google. From business analyst intern to Senior LLM engineer at Google! Max has been at Google for 11+ years and what a great career he’s had! Max probably knows Google better than anyone el...2025-02-2756 minAI StoriesAI StoriesPost Deployment Data Science with Wojtek Kuberski #56👉 From beginner to advanced LLM developer course by Towards AI (use the code AISTORIES10 to get a 10% discount): https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev?ref=63e5e3👉 8-hour GenAI Primer course by Towards AI (use the code AISTORIES10 to get a 10% discount): https://academy.towardsai.net/courses/8-hour-genai-primer?ref=63e5e3Our guest today is Wojtek Kuberski, Co-Founder and CTO at NannyML. In our conversation, we first discuss Wojtek's experience working as a freelancer. We then talk about NannyML: the platform for post deployment Data Science. We dive deep into model monitoring and discus...2025-02-1348 minAI StoriesAI StoriesLlama 2, Llama 3, Agents & AGI with Thomas Scialom #55Our guest today is Thomas Scialom, Senior Staff Research Scientist at Meta. In our conversation, we first discuss Thomas' PhD where he explains how he managed to publish around 20 academic papers. We then dive into several LLMs that Thomas built at Meta including Galactica, Llama 2 and Llama 3. We finally dig into AI Agents, their limitations and how close we are to AGI and ASI. If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.👉 From beginner to advanced LLM developer course by Towards AI (use the...2025-01-2351 minAI StoriesAI StoriesEnd To End MLOps with Başak Eskili #54Our guest today is Başak Eskili, Machine Learning Engineer at Booking.com and C-Founder of Marvelous MLOps. In our conversation, we first dive into MLOps, its key components and how Başak got into the field. We then talk about Marvelous MLOps and her new course: "End to end MLOps with Databricks". Başak finally shares more about her current role at Booking with a focus on building feature stores. If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.From beginner to advanced LLM...2025-01-0951 minAI StoriesAI StoriesTimeGPT, Nixtla & Forecasting with Max Mergenthaler #53Our guest today is Max Mergenthaler, Co-Founder and CEO of Nixtla: one of the most popular libraries for time series forecasting. In this conversation, Max first explains how he got into AI and the lessons he learned from building a couple of tech startups. We then dive into Nixtla and forecasting. Max explains how he founded Nixtla and the different libraries available to build stats, ml and deep learning forecasting algorithms. We also tallk about TimeGPT, Nixtla's closed-source foundation model for time series. We finally discuss the future of the field along with mistakes and...2024-12-1058 minAI StoriesAI StoriesBuild LLMs From Scratch with Sebastian Raschka #52Our guest today is Sebastian Raschka, Senior Staff Research Engineer at Lightning AI and bestselling book author.In our conversation, we first talk about Sebastian's role at Lightning AI and what the platform provides. We also dive into two great open source libraries that they've built to train, finetune, deploy and scale LLMs.: pytorch lightning and litgpt. In the second part of our conversation,  we dig into Sebastian's new book: "Build and LLM from Scratch". We discuss the key steps needed to train LLMs, the differences between GPT-2 and more recent models like Llama 3.1, multimodal L...2024-11-211h 06AI StoriesAI StoriesCode Generation & Synthetic Data With Loubna Ben Allal #51Our guest today is Loubna Ben Allal, Machine Learning Engineer at Hugging Face 🤗 . In our conversation, Loubna first explains how she built two impressive code generation models: StarCoder and StarCoder2. We dig into the importance of data when training large models and what can be done on the data side to improve LLMs performance. We then dive into synthetic data generation and discuss the pros and cons. Loubna explains how she built Cosmopedia, a dataset fully synthetic generated using Mixtral 8x7B.Loubna also shares career mistakes, advice and her take on the fut...2024-11-0747 minAI StoriesAI StoriesHe Built an AI Football Coach Assistant & Google Maps Algorithm with Petar Veličković #50Our guest today is Petar Veličković, Staff Research Scientist at Google DeepMind and Affiliated Lecturer at University of Cambridge.In our conversation, we first dive into how Petar got into Graph ML and discuss his most cited paper: Graph Attention Networks. We then dig into DeepMind where Petar shares tips and advice on how to get into this competitive company and explains the difference between research scientists and research engineering roles. We finally talk about applied work that Petar worked on including building Google Maps' ETA algorithm and an AI coach football coach assistant to...2024-10-221h 06AI StoriesAI StoriesFine-Tuning LLMs, Hugging Face & Open Source with Lewis Tunstall #49Our guest today is Lewis Tunstall, LLM Engineer and researcher at Hugging Face and book author of "Natural Language Processing with Transformers". In our conversation, we dive into topological machine learning and talk about giotto-tda, a high performance topological ml Python library that Lewis worked on. We then dive into LLMs and Transformers. We discuss the pros and cons of open source vs closed source LLMs and explain the differences between encoder and decoder transformer architectures. Lewis finally explains his day-to-day at Hugging Face and his current work on fine-tuning LLMs. If you enjoyed the...2024-06-201h 20AI StoriesAI StoriesMLOps Engineering & Coding Best Practices with Maria Vechtomova #48Our guest today is Maria Vecthomova, ML Engineering Manager at Ahold Delhaize and Co-Founder of Marvelous MLOps.In our conversation, we first talk about code best practices for Data Scientists. We then dive into MLOps, discuss the main components required to deploy a model in production and get an overview of one of Maria's project where she built and deployed a fraud detection algorithm. We finally talk about content creation, career advice and the differences between an ML and an MLOps engineer. If you enjoyed the episode, please leave a 5 star review and subscribe to...2024-05-3059 minAI StoriesAI StoriesOpenAI, AGI, LLMs Eval & Applied ML with Reah Miyara #47Our guest today is Reah Miyara. Reah is currently working on LLMs evaluation at OpenAI and previously worked at Google and IBM. In our conversation, Reah shares his experience working as a product lead for Google's graph-based machine learning portfolio. He then explains how he joined OpenAI and his role there. We finally talk about LLMs evaluation, AGI, LLMs safety and the future of the field. If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.Link to Train in Data courses (use the code...2024-05-161h 04AI StoriesAI StoriesGoogle, Gemini, Cloud & LLMOps with Erwin Huizenga #46Our guest today is Erwin Huizenga, Machine Learning Lead at Google and expert in Applied AI and LLMOps. In our conversation, Erwin first discusses how he got into the field and his previous experiences at SAS and IBM. We then talk about his work at Google: from the early days of cloud computing when he joined the company to his current work on Gemini. We finally dive into the world of LLMOps and share insights on how to evaluate LLMs, how to monitor their performances and how to deploy them. If you enjoyed the episode...2024-04-251h 03AI StoriesAI StoriesDeep Learning for Autonomous Driving with Andras Palffy #45Our guest today is Andras Palffy, Co-Founder of Perciv AI: a startup offering AI based software solutions to build robust and affordable autonomous systems. In our conversation, we first talk about Andras' PhD focusing on road users detection. We dive into AI applied to autonomous driving and discuss the pros and cons of the most common pieces of hardware: cameras, lidars and radars. We then focus on Perciv AI. Andras explains why he decided to focus on radars and how he uses Deep Learning algorithms to enable autonomous systems. He finally gives his take on the future...2024-04-1058 minAI StoriesAI StoriesLaunching 7-Figures AI Products With Franziska Kirschner #44Our guest today is Franziska Kirschner, Co-Founder of Intropy AI and ex AI & Product Lead at Tractable: the world’s first computer vision unicorn. In our conversation, we dive into Franziska's PhD, her career at Tractable and her experience building deep learning algorithms for computer vision products. She explains how she climbed the ladder from intern to AI Lead and shares how she launched new AI product lines generating £ millions in revenues. If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.Link to Train in...2024-03-261h 05AI StoriesAI StoriesHow He Built The Best 7B Params LLM with Maxime Labonne #43Our guest today is Maxime Labonne, GenAI Expert, book author and developer of NeuralBeagle14-7B, one of the best performing 7B params model on the open LLM leaderboard. In our conversation, we dive deep into the world of GenAI. We start by explaining how to get into the field and resources needed to get started. Maxime then goes through the 4 steps used to build LLMs: Pre training, supervised fine-tuning, human feedback and merging models. Throughout our conversation, we also discuss RAG vs fine-tuning, QLoRA & LoRA, DPO vs RLHF and how to deploy LLMs in production. 2024-03-0753 minAI StoriesAI StoriesFrom Biostatistician to DevRel at Deci AI with Harpreet Sahota #42Our guest today is Harpreet Sahota, Deep Learning Developer Relations Manager at Deci AI. In our conversation, we first talk about Harpreet’s work as a Biostatistician and dive into A/B testing. We then talk about Deci AI and Neural Architecture Search (NAS): the algorithm used to build powerful deep learning models like YOLO-NAS. We finally dive into GenAI where Harpreet shares 7 prompting tips and explains how Retrieval Augmented Generation (RAG) works.  If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.Link to Trai...2024-02-1959 minAI StoriesAI StoriesBuilding AI Startups & Raising Funds with Ryan Shannon #41Our guest today is Ryan Shannon, AI Investor at Radical Ventures, a world-known venture capital firm investing exclusively in AI. Radical's portfolio includes hot startups like Cohere, Covariant, V7 and many more.  In our conversation, we talk about how to start an AI company & what makes a good founding team. Ryan also explains what he and Radical look for when investing and how they help their portfolio after the investment. We finally chat about some cool AI Startups like Twelve Labs and get Ryan’s predictions on hot startups in 2024. If you enjoyed the episode, ple...2024-01-291h 11AI StoriesAI StoriesInterpreting Black Box Models with Christoph Molnar #40Our guest today is Christoph Molnar, expert in Interpretable Machine Learning and book author. In our conversation, we dive into the field of Interpretable ML. Christoph explains the difference between post hoc and model agnostic approaches as well as global and local model agnostic methods. We dig into several interpretable ML techniques including permutation feature importance, SHAP and Lime. We also talk about the importance of interpretability and how it can help you build better models and impact businesses. If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Y...2024-01-1055 minAI StoriesAI StoriesFrom English Teacher to MLOps Leader with Demetrios Brinkmann #39Our guest today is Demetrios Brinkmann, Founder and CEO of the MLOps Community. In our conversation, Demetrios first explains how he transitioned from being an English teacher to working in sales and then founding the MLOps community. He also talks about the role of MLOps in the ML lifecycle and shares a bunch of resources to level up your MLOps skills. We then dive into the hot topic of GenAI and LLMOps where Demetrios shares his view on specialised vs generalised LLMs and why it can be dangerous to build a startup on top of OpenAI. 2023-12-1944 minAI StoriesAI StoriesMLOps & LLMOps with Noah Gift #38Our guest today is Noah Gift, MLOps Leader and award winning book author. Noah has over 30 years of experience in the field and has taught to hundreds of thousands of students online. In our conversation, we first talk about Noah's experience building data pipelines in the movie industry and his experience in the startup world. We then dive into MLOps. Noah highlights the importance of MLOps,  outlines the Software Engineering best practices that Data Scientists must learn and explains why we shouldn't always use Python. Noah finally shares his thoughts on the difference between MLOps and LLMOps, P...2023-11-301h 11AI StoriesAI StoriesBuilding Over 1000 Models for Uber with Marianne Ducournau #37Our guest today is Marianne Ducournau, Head of Data Science at Qonto and ex Data Scientist at Amazon and Uber.In our conversation, we first discuss Marianne's first job in Data Science working in the public sector and managing a 10-15 people team. Marianne then talks about her experience at Uber and shares various projects that she worked on. We dive into price elasticity modelling and financial forecasting where her team built thousands of model to forecast financial metrics in multiple cities.  Marianne finally explains her current role as the Head of Data Science at Qonto and g...2023-11-161h 07AI StoriesAI StoriesWorld Number 1 on Kaggle with Christof Henkel #36Our guest today is Christof Henkel, Senior Deep Learning Data Scientist at NVIDIA and world number 1 on Kaggle: a competitive machine learning platform.In our conversation, we first discuss Christof's PhD in mathematics and talk about the importance of maths in a Data Science career. Christof then explains how he started on Kaggle and how he progressed on the platform to become the world number 1 amongst millions of users. We also dive into recent competitions that he won and the algorithms that he used. Christof finally gives many advice on how to win Kaggle competitions and progress...2023-10-261h 08AI StoriesAI StoriesThe Story Behind Mosaic ML's $1.3 Billion Acquisition with Davis Blalock #35Our guest today is Davis Blalock, Research Scientist and first employee of Mosaic ML; a startup which got recently acquired by Databricks for an astonishing $1.3 billion. In our conversation, we first talk about Davis' PhD at MIT and his research on making algorithms more efficient. Davis then explains how and why he joined Mosaic and shares the story behind the company. He dives into the product and how they evolved from focusing on deep learning algorithms to generative AI and large language models.  If you enjoyed the episode, please leave a 5 star review and subscribe t...2023-10-101h 05AI StoriesAI StoriesKellin Pelrine - How He Crushed A Superhuman Go-Playing AI 14 Games To 1 #34Our guest today is Kellin Pelrine, Research Scientist at FAR AI and Doctoral Researcher at the Quebec Artificial Intelligence Institute (MILA). In our conversation, Kellin first explains how he defeated a superhuman Go-playing AI engine named KataGo 14 games to 1. We talk about KataGo’s weaknesses and discuss how Kellin managed to identify them using Reinforcement Learning. In the second part of the episode, we dive into Kellin’s research on building practical AI systems. We dig into his work on misinformation detection and political polarisation and discuss why building stronger models isn’t always enough to get...2023-06-081h 09AI StoriesAI StoriesChanuki Seresinhe - Head of Data Science at Zoopla - Generative AI & AI for happiness #33Our guest today is Chanuki Seresinhe, head of Data Science at Zoopla,  a company which provides millions of users with access to properties for sale and for rent. In our conversation, we first talk about Chanuki’s PhD where she used machine learning to identify relationships between beautiful places and happiness. We then dive into Data Science at Zoopla and talk about Generative AI and other exciting projects that Chanuki is currently working on. Throughout the episode, Chanuki shares great insights on why ML projects fail, the importance of good metrics, switching companies and how to...2023-05-2557 minRedefining AI - Artificial Intelligence with SquirroRedefining AI - Artificial Intelligence with SquirroNeil Leiser - AI Stories RevealedIn this episode Lauren Hawker Zafer is joined by Neil Leiser Who Can Benefit From This Conversation?  Having had a number of representative discussions with a variety of individuals from differing tech angles, Neil joins Redefining AI to provide us with a alternative revelation window: what is, and is not being spoken about in the field and how have his own experiences with AI Stories bolstered these revelations. Who is Neil Leiser?Neil is a civil and environmental engineering who mastered in Data Science and Machine Lear...2023-05-1633 minRedefining AI - Artificial Intelligence with SquirroRedefining AI - Artificial Intelligence with SquirroSpotlight Eight: AI Stories Revealed - Out Soon!Spotlight Eight is a snippet from our upcoming episode: Neil Leiser - AI Stories Revealed. Listen to the full episode, as soon as it comes out by subscribing to Redefining AI. Who is Neil Leiser?Neil is a civil and environmental engineering who mastered in Data Science and Machine Learning from the University College London. At present, he holds a data scientist position at Iwoca, where he specialises in building complex machine learning models for credit risk including credit scoring, affordability assessment, prediction of losses. In addition to his professional responsibilities as a data...2023-05-1001 minAI StoriesAI StoriesRémi Ounadjela - Data Science at TikTok, Google, Amazon & How to get into Big Tech #32Our guest today is Rémi Ounadjela, Senior Data Science Manager at TikTok and ex-Data Scientist at Google and Amazon. During the first part of our conversation, Rémi talks about his experience working on shipment optimisation at Amazon and on Data Science for risk and safety at TikTok. During the second part, we discuss the differences between working as a Data Scientist at TikTok, Google and Amazon. Rémi also shares advice on how to get into Big Tech and the common mistakes that you should avoid. If you enjoyed the episode, pleas...2023-05-101h 04AI StoriesAI StoriesBarr Moses - CEO of Monte Carlo - DataOps & Data Observability #31Our guest today is Barr Moses, Co-Founder & CEO of Monte Carlo, the first end-to-end data observability platform. In our conversation, we first talk about how Barr got into the field and the early influence of her parents. Barr shares her previous experiences working with data in the Israeli Army and working on data strategy at Bain. We then dig into Monte Carlo and the new field of DataOps along with data observability and its 5 pillars . Barr explains how and why she founded this company and walks us through the key challenges she faced. If...2023-04-1356 minAI StoriesAI StoriesParul Pandey - Kaggle Grandmaster & ML for High Risk Applications #30Our guest today is Parul Pandey, Principal Data Scientist at H2O.ai, Kaggle Grandmaster (notebooks) & book author of “Machine Learning for High Risk Applications”. In our conversation, we first dig into Kaggle. Parul explains how she became a Grandmaster, shares tips about data analysis and discusses the pros of learning on Kaggle. The second part of the episode is around machine learning for high risk applications. We talk about the risks of using AI to make decisions, talk about interpretable algorithms and give advice on how to deploy robust models. If you enjoye...2023-03-301h 07AI StoriesAI StoriesMarijn Markus - Managing Data Scientist at Capgemini #29Our guest today is Marijn Markus, Managing Data Scientist at Capgemini. In our conversation, we first talk about data analysis to model and visualise the spread of Ebola. We then dig into crime analysis back to when Marijn worked with the police in the Netherlands. Marijn also shares his thoughts on the importance of causal inference and the value that humans can add to AI algorithms. We then explore machine learning applied to the consulting sector and discuss the pros and cons of working as a Data Scientist in a consulting firm. Marijn talks about pr...2023-03-151h 01AI StoriesAI StoriesLouis Bouchard - Founder of What's AI & Towards AI #28Our guest today is Louis Bouchard, founder of the What’s AI Youtube channel & Towards AI. Louis is also a PhD student at the Quebec Artificial Intelligence Institute (Mila) founded by Yoshua Bengio.In our conversation, Louis first talks about What’s AI and explains how and why he launched his own Youtube channel. We then explore the world of Research and AI Algorithms. We discuss some of the latest techniques, chat about what intelligence actually means and debate on whether AI algorithms are actually intelligent or not. We also dive into research papers where Louis shares advi...2023-02-271h 15AI StoriesAI StoriesMiguel Fierro - Lead Data Scientist at Microsoft #27Our guest today is Miguel Fierro, Lead Data Scientist at Microsoft working in the personalisation team. In our conversation, we first dig into Miguel’s PhD in robotics and the connection between robotics and AI.  Miguel then shares a few stories on reverse learning to learn faster, how to switch fields, taking initiatives, the importance of diversity and the power of practical knowledge. We finally talk about Data Science at Microsoft where Miguel talks about his career path and learnings he got from some of the best in the field.  If you enjoyed the episode, pleas...2023-02-021h 18AI StoriesAI StoriesGreg Coquillo - Technology Manager at Amazon #26Our guest today is Greg Coquillo, Technology Manager at Amazon and startup investor. Greg is also a LinkedIn Top Voice in Technology & Innovation (2021) and Data Science & AI (2020).In our conversation, Greg first explains how he got into the field and why he is so excited about working in the AI space. He also shares his view on Data Science and the skills required to become a great Data Scientist. We then dig into his career focusing on Lonza and Amazon. Greg talks about a price optimisation model he built to increase Lonza’s profit margin by...2023-01-191h 07AI StoriesAI StoriesMike Wimmer - 14 Year Old CEO #25Our guest today is Mike Wimmer, an incredible 14 year old kid who is already the CEO of two companies: Next Era Innovation and Reflect Social. In our conversation, we first talk about Mike’s childhood from starting to code at only 5 years old to his experience at school.  We then discuss his first company, Next Era Innovation, which he founded at 7. Mike shares a few projects that he worked on including an education app connected to a physical robot to help children interactively learn about the US presidents. We also dig into AI, machine learning and...2023-01-051h 10AI StoriesAI StoriesAdam Sroka - Data Strategy, Writing online, Management, ML teams & AI for the energy sector #24Our guest today is Adam Sroka, Founder and Director at Hypercube Consulting.In our conversation, Adam first explains how he got into the field. He then shares management mistakes and advice from his experience at Incremental Group where he transitioned from Senior Data Scientist to Data & AI Director. We then dig into ML applied to the energy sector and talk about Adam's new company: Hypercube Consulting. We finally discuss data strategy, how to build strong data teams and the importance of writing online.   If you enjoyed the episode, please leave a 5 star review and subscribe to...2022-12-211h 04AI StoriesAI StoriesKyle Kranen - Nvidia, Deep Learning, Graph Neural Nets, Debugging Models & Failures #23Our guest today is Kyle Kranen, Senior Deep Learning Algorithm Engineer at Nvidia.In our conversation, Kyle first explains how he got into the field and talks about his internship at Condati where he worked on Data Science and visualisation applied to marketing. We then dig into deep learning and dive into Kyle’s first project at Nvidia, working with Mask R-CNN in the deep learning algorithm team. We finally explore graph neural networks which have recently become quite popular. Kyle explains the theory behind those algorithms and gives clear examples on how th...2022-12-071h 09AI StoriesAI StoriesJess Ramos - Interview tips, Monitoring, Data processing, Management & The power of LinkedIn #22Our guest today is Jess Ramos, Senior Data Analyst at Crunchbase and LinkedIn Learning Instructor. In our conversation, Jess first talks about how she got into the field and her first analytics project.  We then dig into her experience at FormFree where Jess worked on tracking the performance of integration partners. We discuss the value that data analysts can bring to a business and share some tips on how to process and clean your data.  Jess finally shares advice on how to land a job in data analytics / data science and explains how Li...2022-11-231h 04Entspannungsreisen mit Yvonne FreiEntspannungsreisen mit Yvonne FreiDas wichtigste Organ: das Herz ♥️BITTE VERWENDE IPODS 🎧, DA DIE STIMME MANCHMAL LEISER WIRD. DANKE🙏 Heute beginne und beende ich die Folge jeweils mit einem Song...beide inspirierten mich zur heutigen Episode von ENTSPANNUNGSREISEN mit YF. Unser Herz ist zum einen pragmatisch gesehen das wichtigste Organ im Körper, das über den Blutkreislauf versorgt wird und zum anderen durch so vieles beeinflusst und herausgefordert wird. Noch nie gab es so viele junge Sportler, die an Herzversagen aus dem Leben schieden und in der Medizin gibt es tatsächlich die Diagnose "broken heart". In meinen Teachings habe ich Coachees, die unterschiedlichste Herzthemen mitbringen und erkannt haben, dass die...2022-11-1315 minAI StoriesAI StoriesSoledad Galli - Lead Data Scientist & Founder of Train In Data #21Our guest today is Soledad Galli, Lead Data Scientist and Founder of Train In Data. In our conversation, we first talk about Soledad's transition from working as a research scientist in biology to working as a Data Scientist in industry. We then dig into Soledad's experiences at Zopa and LV= where she built machine learning algorithms for credit risk and fraud detection. We explore the challenges behind working in credit risk and discuss different methods to deal with imbalanced data and identify frauds. We finally talk about train in data, a platform with...2022-11-091h 01AI StoriesAI StoriesSantiago Valdarrama - Director of Computer Vision at Levatas #20Our guest today is Santiago Valdarrama, Director of Computer Vision at Levatas and founder of Bnomial. In our conversation, we first talk about Santiago's transition from software engineering to the world of machine learning. He explains how he got into AI and why software engineering skills are important when working as a Data Scientist / ML engineer. We then dig into computer vision at Levatas, a company which develops solutions for automating and scaling visual inspection. Santiago walks us through different machine learning projects that he worked on, summarises the latest advances in computer vision and...2022-10-251h 01AI StoriesAI StoriesDamien Benveniste - CTO at Motivee | Ex Tech Lead at Meta #19Our guest today is Damien Benveniste, CTO at Motivee and Ex Tech Lead at Meta. In our conversation, Damien first explains how he transitioned from a PhD in Physics to the world of AI and talks about the differences between machine learning in industry and doing a PhD. He also shares his experience getting laid off three times in a row and gives advice on how to do well in industry, how to choose the right company to work for and how to keep moving forward.  We then discuss Machine learning for ads ranking and t...2022-10-111h 52AI StoriesAI StoriesMarguerite Graveleau - Technical Product Manager at Iwoca | Ex Data Scientist at Lyft #18Our guest today is Marguerite Graveleau, Technical Product Manager at Iwoca; a Fintech company lending money to small and medium businesses; and Ex Data Scientist at Lyft, one of the main competitors of Uber. In our conversation, Marguerite first explains how she got into the field. We talk about her Master at Stanford and give advice on how to get a first job after university. We discuss the importance of cold emails and building a portfolio of Data Science projects. We then explore Data Science at Lyft where Marguerite explains how she used data and...2022-06-2959 minAI StoriesAI StoriesAleksa Gordic - Research Engineer at Deepmind & Founder of the AI Epiphany #17Our guest today is Aleksa Gordic, Research Engineer at Deepmind and founder of the AI Epiphany Youtube channel. In our conversation, we first talk about Aleksa’s Bachelor in Electronics and Computer Science at the University of Belgrade and then discuss his experience as a Software Engineer at Microsoft. He then explains how he transitioned to the world of AI by doing courses, bootcamps and learning subfields like GANs, Neural Style Transfer or Reinforcement Learning on his own. He shares his learning strategy and gives advice on how to get into the field. We fi...2022-06-081h 23AI StoriesAI StoriesSmriti Mishra - Applied AI Researcher | Ex Head of AI at Earthbanc #16Our guest today is Smriti Mishra, applied AI and Data Science Researcher at the KTH Royal Institute of Technology in Stockholm and ex Head of AI at Earthbanc. In our conversation, we first talk about Smriti’s career, how she transitioned from electrical engineering to the world of Data Science and AI and how she became passionate about healthcare and climate change. Smriti then describes her experience in tackling climate change with AI. She introduces the concept of carbon sequestration and explains how she estimates it using deep learning algorithms, satellite images and additional data so...2022-05-2552 minAI StoriesAI StoriesJoshua Starmer - Founder and CEO of StatQuest #15Our guest today is Joshua Starmer, Founder and CEO of StatQuest, a Youtube channel with over 700k subscribers which clearly explains complex statistics and machine learning methods.In our conversation, Josh first talks about his career: his PhD in Bioinformatics, how he got introduced to the concepts of Statistics and variation and how he learned more about it. We then explore StatQuest, how the channel started and discuss the difficulties behind leaving a full time job to start your own project. We also explain what the channel is about and why it became so successful. 2022-05-101h 01AI StoriesAI StoriesJan Xu - Senior Machine Learning Engineer at Deep Render #14Our guest today is Jan Xu, Senior Machine Learning Engineer at Deep Render, a startup developing the next generation of compression technology using Deep Learning. This episode is a special one since Jan and I studied Civil Engineering at Imperial College London together between 2015 and 2019. In our conversation, we first talk about our bachelor degree at Imperial and how Jan made the transition from Engineering to Data Science and AI. He explains how he learned to code, the first machine learning projects that he worked on and how he managed to get a Job as a Machine...2022-04-271h 05AI StoriesAI StoriesMark Freeman II - Data Science in Startups #13Our guest today is Mark Freeman II, Senior Data Scientist at Humu and CEO of On the Mark Data. In our conversation, Mark first talks about his Bachelor in Sociology and his Master at Stanford. He explains how he managed to get into Stanford despite having bad grades and describes how he got into the world of Statistics and AI. We then discuss Data Science in Startups, the pros and cons of working in a Startup and the main differences between Data Science in small and large companies. Mark shares projects that he worked on an...2022-04-1258 minAI StoriesAI StoriesRishabh Mehrotra - Ex Tech Lead at Spotify | Director of Machine Learning at ShareChat #12Our guest today is Rishabh Mehrotra, ex Tech Lead at Spotify and Director of Machine Learning at ShareChat. In our conversation, Rishabh first talks about his transition from working as an analyst at Goldman Sachs to his PhD at UCL where he worked on deep models for user understanding, knowledge discovery and decision optimization. We then explore Machine Learning at Spotify which Rishabh joined in 2017 as a founding member of the research lab. We dig into recommender systems and discuss how AI can be used to improve user experience by understanding their behaviours and recommending personalised songs...2022-03-291h 02AI StoriesAI StoriesChristina Stathopoulos - Analytical Lead at Waze #11Our guest today is Christina Stathopoulos, Analytical Lead at Waze and Adjunct Professor at IE University in Madrid. In our conversation,  Christina first shares her opinion on her MSc in Business Analytics and Big Data at IE university and discusses the pros and cons of an in-person vs an online master. Christina then talks about her transition into teaching, the challenges that she faced as well as advice that she has on how to start learning more about Data Science and Machine Learning. We also talk about the #bookaweekchallenge and discuss the importance of building a personal b...2022-03-151h 00AI StoriesAI StoriesSerg Masís - Interpretable Machine Learning | Data Scientist at Syngenta #10Our guest today is Serg Masís, author of the book "Interpretable Machine Learning with Python" and Data Scientist at Syngenta: a leading agriculture company helping to improve global food security. In our conversation, we first talk about Serg's transition from working as a web developer to joining the world of Data Science and AI where he explains why he decided to do a master in Data Science after working in industry for over 10 years. We also discuss AI at Syngenta and explore the main challenges behind AI for agronomy. We then dig into Interpretable Machine Learning, a...2022-03-0259 minAI StoriesAI StoriesAntonio Ivanovski - Senior Data Analyst at Google #9Our guest today is Antonio Ivanovski, Senior Data Analyst at Google and author of the book "The AI Journey". In our conversation,  Antonio first talks about his transition from studying sports, events and tourism to getting into AI. He also explains how after only 4 months of full-time work experience, he actually manages to get a double promotion. We then focus on his work at Verizon, a world’s leading provider of tech and communication services, where Antonio quickly progressed to become an AI Product Manager. After Verizon, we dig into Data Analysis at Google and fin...2022-02-1557 minAI StoriesAI StoriesNick Singh - Ace the Data Science Interview #8Our guest today is Nick Singh, ex-Facebook, Google, Microsoft and Author of "Ace the Data Science Interview", an Amazon best seller book which helps you land your dream Data Science job. In our conversation, we first talk about Nick's career in industry. We explore how he managed to get into some of the best tech companies in the world and how he transitioned from being a Data Engineer to focusing on Growth. We dig further into what being a Growth Engineer actually means and discuss various projects that Nick worked on to increase the retention of new...2022-02-0159 minAI StoriesAI StoriesNeal Lathia - Associate Director of Machine Learning at Monzo Bank #7Our guest today is Neal Lathia, Associate Director of Machine Learning at Monzo bank, a major UK digital bank which is now valued at around $4.5 billion. In our conversation, we first talk about Neal's PhD in recommender systems, the type of AI algorithms used by Youtube, Netflix, Spotify which provide user specific recommendations. We then go over his experience as a freelance Data Scientist and dig into different projects that he worked on.  We also discuss the advantages and disadvantages of working freelance vs working in industry. We finally focus on AI at Monzo where Neal explains ho...2022-01-1152 minAI StoriesAI StoriesLyndsee Manna - Natural Language Generation #6Our guest today is Lyndsee Manna, Executive Vice President in Strategic Partnerships and Global Business at Arria NLG.  Arria is a world leader in Natural Language Generation (NLG), a sub-branch of Natural Language Processing which uses algorithms to transform structured data into text. In our conversation, we first talk about Lyndsee's studies and her transition from being a musician to becoming interested in Maths and Technology. We then focus on her experience at Diligent where she brought the company from a concept to an IPO. We finally dig into the world of Natural Language Generation with Arria NL...2021-12-2744 minAI StoriesAI StoriesSamuel Cohen - Facebook AI Research & PhD at UCL #5Our guest today is Samuel Cohen, PhD student at University College London (UCL) and visiting research scientist at Facebook AI Research (FAIR). In our conversation, we first dive into Samuel's first experience in AI, an internship at Check Point Software Technology where he developed a Machine Learning algorithm to detect malicious software (malware) on Android devices. We then dig into his PhD before focusing on his research at FAIR where Samuel works on imitation learning from images. We finally explore the main challenges behind AI and Ethics, a field that he is particularly interested in. We discuss v...2021-12-1446 minAI StoriesAI StoriesKanwal Bhatia - AI in Healthcare, Deep Learning for Medical Imaging #4Our guest today is Kanwal Bhatia, Co-Founder and CSO of Metalynx. Kanwal spent a big part of her career building Deep Learning algorithms for Medical Imaging. In our conversation, we first talk about her past projects in academia. We focus on her postdoctoral at Kings College London where Kanwal developed machine learning algorithms for lung cancer detection. We then dig into her experience at Visulityx where she led a team of 6 Data Scientists to produce AI solutions for retinal image analysis. We finally explore Metalynx, an AI startup focused on data which helps companies have visibility on t...2021-11-2945 minAI StoriesAI StoriesAlberto Rizzoli - Co Founder & CEO of V7 #3Our guest today is Alberto Rizzoli, Co-Founder and CEO of V7, an MLOPS platform which enables to collaborate and automate workflows.  His work on AI granted him an award from Italian President Sergio Mattarella. V7's products won the CES Best of Innovation Award for two consecutive years in a row.  In our conversation, we first dig into 2015 and the beginning of the "AI boom". 2015 is also the year where Alberto started Aipoly, a startup which provides real time computer vision for the blinds and visually impaired.  We then dig into the transition from Aipoly to V7, from...2021-11-1542 minAI StoriesAI StoriesYouri Moscovic - Co Founder & CEO of Prediko #2Our guest today is Youri Moscovic, Co-Founder and CEO of Prediko, an AI startup which is doing smart inventory planning for e-commerce businesses. In our conversation, we start by exploring the differences and similarities between AI and Operational Research (OR), a field that Youri specialised in during his master at the London School of Economics. We then focus on his first job at Satalia, an enterprise AI firm where he started as an intern but quickly became the Head of Solutions after a couple of years only. Youri talks about how he managed the development of AI...2021-10-3144 minAI StoriesAI StoriesRushen Patel - Head of Enterprise Data Science at Marks & Spencer #1Our guest today is Rushen Patel, Head of Enterprise Data Science at Marks & Spencer (M&S), a major British retailer with around  £10 billion in annual revenue. In our conversation, we discuss the key steps in Rushen's career.  We start with his PhD in Control Theory at Imperial College London, going over the similarities and differences between this field and AI. We then discuss his experience in vehicle simulation and modelling at Red Bull Racing and the impact that his work had on Formula 1 races. We then focus on how he founded a new Data Science team at M&S...2021-10-1944 min