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All Podcast Episodes
Season #22
- Build & Scale LLM Agents and RAG Pipelines: Prompting, Transcript Automation, Evaluation with Hugo Bowne-Anderson
- Wastewater Metagenomics & Knowledge Graphs: Network Inference, AlphaFold & Open-Source Tools with Sebastian Ayala Ruano
- Autonomous Driving AI: LiDAR vs Camera, On-Vehicle Inference & Model Compression with Aishwarya Jadhav
- Build & Evaluate Autonomous LLM Agents: RAG, Orchestration, Context Engineering & SRE with Ranjitha Kulkarni
Season #21
- Optimize Visitor Flow with Theme Park Crowd Modeling, Queue Prediction & Real-Time Recommendations with Abouzar Abbaspour
- Predictive Maintenance & Yield Analytics for Semiconductors: Deploy ML with Flask, Docker & MLOps with Dashel Ruiz Perez
- Build Multi-Agent AI Assistants: Game AI Roots, Evolutionary Algorithms & Practical LLM Tooling with Micheal Lanham
- Detecting Radio-Emitting Stars with MEERKAT: Building ML & Cloud Data Pipelines with Daniel Egbo
- Medicine to Machine Learning: Build Healthcare ML Portfolio, Freelance on Upwork & Deploy to Cloud with Pastor Soto
- Restore Data Trust: Practical Data Quality, Prioritization & Generative AI Readiness with Lior Barak
- Synthetic Medical Imaging Data for AI: Startup Data Engineering, MVPs & Freelance Transition with Orell Garten
Season #20
- Data Freelancer Playbook: Land Clients, Price Services & Use AI for Productivity with Dimitri Visnadi
- Run Hackathons & Scale MLH-Style Open Source Fellowships: Organize, Onboard, Judge with Will Russell
- Benchmarking Long-Context LLMs for Finance: Chunking, Retrieval, Summarization & Career Tips with Lavanya Gupta
- FinOps for Data Engineers: Optimize Cloud Costs with dbt, BigQuery & Modern Data Stack with Eddy Zulkifly
- Build Trustworthy AI with Data Pipeline Testing & Prompt Engineering (Caching, Compression & Tools) with Bartosz Mikulski
- Lean MLOps for Startups: SaaS-First MVP Stack, Avoid Vendor Lock-In & Manage Tech Debt with Nemanja Radojkovic
- Future-Proof Data Engineering: Adopt Apache Iceberg, DuckDB & AI-Powered Pipelines with Adrian Brudaru
- From Kaggle to Production: MLOps, Competition Strategies & Curriculum Design with Alexander Guschin
- Cut AI Infrastructure Costs: DStack for On‑Prem GPU Training & MLOps Alternatives with Andrey Cheptsov
Season #19
- Fairness in AI: Using Fairlearn to Mitigate Credit Scoring Bias & Build Explainable Models with Tamara Atanasoska
- DevOps to Data Engineering: Automation, Open Source & Volunteering with Agita Jaunzeme
- From Biology to ML: Build a Data Science Portfolio with Open-Source, Computer Vision & Transformers with Isabella Bicalho
- Hardening Generative AI Chatbots: Prevent Prompt Injection, Data Exfiltration & Hallucinations with Maria Sukhareva
- From Collider Physics to Data Science: Research Software Engineering, Interview Prep & Mentorship with Anastasia Karavdina
- MLOps at Scale: CI/CD, Reproducibility, Model Monitoring & Team Adoption Strategies with Raphaël Hoogvliets
- Inside Scaling DataTalks.Club: How We Built Free Data Engineering, MLOps & LLM Courses with Alexey Grigorev
- Human-Centered ASR for Disordered Speech: Data, Multimodal Cues & Personalization with Katarzyna Foremniak
- How Urban Transport Data & AI Enable Real-Time Monitoring, Demand Forecasting & Data Pipelines with Rachel Lim
Season #18
- DataOps for Data Engineering: Automation, Observability, CI/CD & Reliable ML Deployments with Christopher Bergh
- Build a Domestic Risk Assessment Tool for Triage: Data, Models, Privacy & Deployment with Sabina Firtala
- Omdena Academy: Project-to-Course AI Education for Data Science Careers & Instructors with Erum Afzal
- Build Sustainable Scikit-Learn Ecosystems: scikit-lego, Skrub, GAP Encoder & DevRel with Vincent Warmerdam
- Scaling Wildlife Conservation with AI: Computer Vision, Remote Sensing & Citizen Science with Tanya Berger-Wolf
- Using Knowledge Graphs & LLMs for Automotive R&D: RAG, Graph ML & Crash Simulation with Anahita Pakiman
- Data Leadership Coaching: Transition to Manager, Feedback Skills & Influencing Without Authority with Tereza Iofciu
Season #17
- Vector Search & Databases: Indexing, Embeddings, Hybrid Retrieval, MLOps & CLIP with Daniel Svonava
- Vector Search & Hybrid Retrieval: Practical Guide to Embeddings, Indexing, Multimodal Fusion with Reem Mahmoud
- Boost Your AI Career: Volunteer Open-Source Projects, Hackathon Strategy & Data Sourcing with Sara EL-ATEIF
- Data Science Career Change: 4-Pillar Job Search, Networking & Informational Interview Guide with Sarah Mestiri
- Practical MLOps for Finance: CI/CD, On-Prem Deployment & Minimal Viable ML with Nemanja Radojkovic
- Master Bayesian Modeling & Probabilistic Programming: MCMC, HMC/NUTS, Sampling with Hakaru & PyMC with Rob Zinkov
- Algorithmic Trading & Mean Reversion: Backtesting, Data APIs, Risk Management & ML with Ivan Brigida
- Searching Beyond the Surface: Navigating Challenges and Innovations in Search Technologies with Atita Arora
- Launch an Open-Source Data Company: Declarative JSON to Relational DLT for Python Devs with Adrian Brudaru
Season #16
- Launch Your Data Freelancer Career: Pricing, Outreach, Contracts & Risk with Dimitri Visnadi
- Build & Scale a Digital Clinic: AI Skin Health, Telemedicine & AR MVP with Maria Bruckert
- Interpretable ML & Technical Writing: SHAP, Conformal Prediction, Python & Self-Publishing with Christoph Molnar
- From Engineer to VP of ML: How to Lead, Sell, and Ship Actionable ML Products with Jack Blandin
- Launch a Generative AI Freelance Business: NLP, Model-in-the-Loop Annotation & Client Pitch with Verena Weber
- From Marketing to Product Owner: Build E-commerce Search with Elasticsearch & NLP with Lera Kaimashnіkova
- MLOps & Data Product Operating Model: Prioritization, A/B Testing & Model Monitoring with Ioannis Mesionis
- ML in Healthcare: Low-Resource Monitoring, Sepsis Prediction & Clinical Translation with Eleni Stamatelou
- How DataTalks.Club Built a Thriving Data Community, ML/LLM Courses & Career Switches with Alexey Grigorev, Johanna Bayer
Season #15
- Retail Fraud Detection with Data Engineering: Real-Time Scoring, Graphs & MLOps with Angela Ramirez
- Build & Scale End-to-End IoT Data Pipelines, Lakehouse & Core Data Modeling with Loïc Magnien
- Pragmatic MLOps: Build Standardized CI/CD, Model Registries, Monitoring & Org Best Practices with Maria Vechtomova
- Practical Causal ML: Counterfactuals, Uplift (CATE), A/B Testing & LLMs with Aleksander Molak
- Build IoT Platforms & Data Pipelines for Remote Work: Hiring, Onboarding & Personal Branding with José María Sánchez Salas
- Build Secure LLM Apps: GPT, Prompt Engineering, Embeddings & Semantic Search with Sandra Kublik
- Deploying LLMs in Production: Fine-Tuning, Retrieval & Open-Source vs API Tradeoffs with Meryem Arik
- Investing in Open Source Developer, Data & AI Tooling: Go-to-Market, Funding & Monetization with Bela Wiertz
- ML System Design Playbook: Fail-Fast Design Docs, Modular Architecture & Data Drift Monitoring with Valerii Babushkin
Season #14
- Actionable Churn Prediction: Explainable AI, Organizational Trust (ABI) & MLOps with Polina Mosolova
- Designing MLOps Platforms: Deploy, Track Experiments, Manage Models & Compliance with Simon Stiebellehner
- Build Modern Data Pipelines: Ingestion, dbt Transformations, Airflow Orchestration & MLOps with Santona Tuli
- Master Full-Stack ML with Metaflow: DevRel, Open-Source Governance & AI Trends with Hugo Bowne-Anderson
- Freelance Data Scientist Playbook: MLOps, Model Monitoring, Upwork & Startup Skills with Antonis Stellas
- Data Access Management: Access Controls, Data Catalogs & Access-as-Code with Bart Vandekerckhove
- Actionable Data Strategy & DataOps for AI-Powered Products: Pitch, Measure, Use GPT with Boyan Angelov
- Data Privacy Playbook: Differential Privacy, Federated Learning, PETs & Consent UX with Katharine Jarmul
- Build Scalable, Reliable ML Systems (MLOps): Design Docs, Data Strategy & Edge Constraints with Arseny Kravchenko
Season #13
- Improve NLP Labeling with Weak Supervision: Refinery, Bricks & GPT Heuristics with Johannes Hötter
- Master Industrial Data: Synthetic Tabular Data, Small-Data Modeling, Sensors & MLOps with Rosona Eldred
- How to Teach Yourself Bioinformatics & ML: Project-First Learning, Resources, and MLOps with Aaisha Muhammad
- Master Data Science Management: Agile ML, Debrief Culture, Metrics & Scale to Production with Shir Meir Lador
- Prevent Hidden Technical Debt in ML Systems: Software Engineering, MLOps, Docs & Responsible AI with Nadia Nahar
- Build a Data Consulting Business: Customer Validation, User Interviews & Pricing Strategy with Aleksander Kruszelnicki
- Actionable Biohacks to Boost Productivity: Sleep, Circadian Light, Dopamine & Habits with Ruslan Shchuchkin
- Analytics for Nonprofits: Build Data Maturity, Teams, Tools & Optimization Strategies with Parvathy Krishnan
- How to Build & Scale a Data Science Community: Diversity, ML Deployment & Career Growth with Dânia Meira
Season #12
- Staff AI Engineer: From Academia to Industry — Interview Prep, MLOps & Onboarding with Tatiana Gabruseva
- From Web and Game Dev to ML Platforms and LLMs: Career Transitions, Prompt Engineering and Debugging with Krzysztof Szafanek
- Master ML & Data Science Technical Interviews: Recruiter-Proven Stages, Prep & Resources with Luke Whipps
- Build, Launch & Monetize Indie Hacker Products: Crypto Alerts, Generative AI & Growth with Pauline Clavelloux
- Teach Reproducible Research: RSE Practices for Neuroimaging, Packaging, MLflow & Data Sharing with Johanna Bayer
- Data-Centric AI: Improve Label Quality & Edit Datasets to Boost Model Performance with Marysia Winkels
- Practical Data Science for SaaS: Deployments, Marketing Automation, Metrics & Storytelling with Loris Marini
- Transitioning from Software Engineer to Data Science Manager: Search, ML & Leadership with Sadat Anwar
Season #11
- Designing FinTech Data Analytics Curriculum: Fraud Detection, BigQuery Labs & Mentoring with Irina Brudaru
- Practical Data Journalism: Sourcing, Storytelling, Visualization & Tools (Python, Tableau) with Angelica Lo Duca
- Marketing to Analytics Engineering: DBT, SQL, Data Modeling & Career Playbook with Nikola Maksimovic
- Data Product Leadership: Scaling Recommenders, Production ML Hiring & Price Markdown Modeling with Anna Hannemann
- Scale Industrial AI: MLOps, Sensorization, POC Strategy & Hub‑and‑Spoke Data Teams with Andrey Shtylenko
- Eliminate Duplicate Records with ML-Powered Identity Resolution — Snowflake-native & Open Source with Sonal Goyal
- DataOps & GitOps for Data Teams: Onboarding, IaC, Reproducibility & Production Best Practices with Tomasz Hinc
- Data Science Career Guide: Hiring, Managing & Growing Teams in B2B SaaS with Katie Bauer
- Transition from QA to Machine Learning & Data Engineering: Projects, Cloud & Interview Prep with Alvaro Navas Peire
Season #10
- Responsible & Explainable AI: Practical Guide to Bias Detection, Fairness & Governance with Supreet Kaur
- Build Data Science Programs, Democratize HPC & Scale Graph Analytics with Arkouda with David Bader
- Practical Guide to Dataset Creation & Annotation for NLP: Active Learning, Weak Supervision, Tools with Christiaan Swart
- Data Mesh Implementation: Build Decentralized Data Products, Contracts & Federated Governance with Zhamak Dehghani
- Scale Data Engineering Teams: Build Self‑Service Data Platforms, Hire Senior Engineers & Use Kafka with Mehdi OUAZZA
- Scale Enterprise AI: Data-First Strategies, MLOps Best Practices & Realistic Experiments with Alexander Hendorf
- MLOps Architect Guide: Production Model Monitoring, Data Observability & Tooling with Danny Leybzon
- Spot Misleading Data Job Titles, Hiring Red Flags & Build Better Data Teams with Tereza Iofciu
- Data Science for Public Policy — Ethical AI, Climate Justice & Impact Projects with Christine Cepelak
Season #9
- How to Hire Data Scientists: Interview Questions, MLOps, AutoML Limits & Inclusive Hiring with Olga Ivina
- Build Rich Terminal UIs with Textual in Python and Turn Open Source into a Startup with Will McGugan
- Designing High-Impact Data Science Orgs: Centralized vs Embedded Models, Experimentation & Staffing with Lisa Cohen
- Contribute to Hugging Face & Build an NLP Portfolio: Open Source, Datasets, Spaces with Merve Noyan
- Data Science Career Playbook: Job Hunt, Portfolios, DALL·E 2 & Overcoming FOMO with Mısra Turp
- Freelance Data Engineering Playbook: Pricing, Client Acquisition & Tools with Adrian Brudaru
- Getting a Data Engineering Job (Summary and Q&A) with Jeff Katz
- Asteroid Mining: Using ML & Hyperspectral Spectroscopy to Detect Water for ISRU with Daynan Crull
- Marketing Data Science: Attribution, Media Mix Modeling, Uplift & Cookieless Tracking with Juan Orduz
Season #8
- How I Landed a Data Engineering Job: Bootcamp, Docker, Airflow, AWS & Interview Tips with Gloria Quiceno
- Build a Data Engineering Career: Bootcamp Curriculum, SQL Mastery & Interview Prep with Jeff Katz
- How to Switch to Tech: Community Meetups, Open Source Fellowships & Landing an Ecosia Internship with Jessica Greene
- Hiring Data Engineers in Europe: Nicolas Rassam on Interviews, Skills & Career Switches with Nicolas Rassam
- Mastering DataOps: Automation, Observability & CI/CD for Reliable Data Pipelines with Christopher Bergh
- AI in Healthcare & Digital Therapeutics: Building Data Teams, Personalization, A/B Testing & Ethics with Stefan Gudmundsson
- AI Product Design: Algorithm-Ready UX, Rapid Experiments & Data-Driven Roadmaps with Liesbeth Dingemans
- Data Science Career Playbook: Build Unique IoT Portfolios, Explainable AI, OSINT & LinkedIn Growth with Marijn Markus
- Visualize Machine Learning: Build Intuition with kDimensions, Figma & Templates with Meor Amer
Season #7
- How to Break into Data Analytics: Networking, Portfolio, SQL & Interview Prep with Juan Pablo
- How to Become a Data Engineer: Skills, MLOps, Pipelines, SQL, CI/CD & Cloud with Ellen König
- Data Engineering Leadership: Scale ETL to ELT, Build Robust Data Platforms & Teams with Rahul Jain
- Product Analytics & A/B Testing: Causality, Metrics, Power Analysis, A/A Tests with Jakob Graff
- ML System Design Interviews: Production ML, Fraud Detection, Features, A/B Testing & MLOps with Valerii Babushkin
- Land Junior Data Jobs: CVs, Interviews, Transferable Skills & Overcome Imposter Syndrome with Lindsay McQuade
- Build & Scale Data Products for AI: Roadmaps, MLOps, Customer Research & Metrics with Greg Coquillo
- Hiring Data Scientists & Analysts: Talent Pipelines, Job Specs, CV Screening & Salary Tips with Alicja Notowska
- DataTalks.Club Behind the Scenes: Alexey Grigorev on Scaling and Growing the Community with Eugene Yan, Alexey Grigorev
Season #6
- Data Science Leadership: Product-First ML, Recommenders & RTB, MLOps, Hiring & Mentoring with Mariano Semelman
- Lead NLP Teams: Hiring, Production Pipelines, MLOps & LLM Tradeoffs (GPT-3, spaCy) with Ivan Bilan
- Become an ML Product Manager: MLOps Platforms, Observability & Adoption with Geo Jolly
- From Postdoc to Data Science Lead: ML Foundations, Docker Deployment & Hiring Tips with CJ Jenkins
- Master Spatial Big Data Analytics: Nebula Stream Systems, Postdoc Mentoring & PhD Tips with Eleni Tzirita Zacharatou
- How to Transition from Design to Data Product Manager: SQL, Customer Discovery & Data Quality with Sara Menefee
- Data Science Manager vs Expert: Hiring Strategy, Skills, Team Building & When to Use ML with Barbara Sobkowiak
- Ace Data Interviews: Behavioral STARs, Case Strategy, Portfolios & Cold Emails with Nick Singh
- Solopreneur Guide: Diversify Income with Courses, Consulting, Books & Side-Gigs with Noah Gift
Season #5
- Practical Data Science & ML: Feature Engineering, Model Monitoring, Data Governance & Storytelling with Thom Ives
- Last-Mile Data Delivery for the Modern Data Stack: Build Data Products to Boost Adoption with Caitlin Moorman
- From Analytics to Production ML: Team Building, Experiments, MLOps & Fraud Detection with Rishabh Bhargava
- How to Build & Scale a Data Team: Hiring, Production ML, Forecasting & Driving Adoption with Tammy Liang
- From Research to Production: Build Reproducible, Deployable Full-Stack ML Systems with Mihail Eric
- Solo Data Scientist Playbook: 90-Day Roadmap, Pipelines, A/B Tests & Prioritization with Marianna Diachuk
- KPI Design & Metrics Strategy: Prioritize Impact, Avoid Vanity Metrics, and Prove ROI with Adam Sroka
- ETL vs ELT & Data Lake vs Warehouse: Airbyte, dbt, CDC for Modern Data Engineering with Natalie Kwong
- Practical Algorithms for Engineers: Bloom Filters, Approximate Nearest-Neighbor & Performance with Marcello La Rocca
Season #4
- Mastering the Chief Data Officer Role: Build Data Strategy, Org Design & AI with Marco De Sa
- Freelancing in Machine Learning with Mikio Braun
- Build a Grocery Retail OS to Cut Supermarket Food Waste & Scale Your Startup with Carmine Paolino
- Master Human-Centered MLOps: Stakeholder Buy-In, Monitoring, Debugging & Incident Response with Lina Weichbrodt
- Practical Machine Learning Engineering for Production: Ship Maintainable Models, Avoid Complexity with Ben Wilson
- How to Build a Successful ML Startup: MLOps, Model Monitoring, Open Source & Founder Fit with Elena Samuylova
- Big Data Engineer vs Data Scientist: Skills, Tools, and Career Paths with Roksolana Diachuk
- From Notebooks to Production: Build Data Pipelines & Deploy ML (AWS, Kafka, Streaming) with Andreas Kretz
- From Software Engineering to Machine Learning: 7 Lessons, Tools, MLOps & Project Roadmap with Santiago Valdarrama
Season #3
- Master Analytics Engineering: Skills, Toolstack, Career Roadmap with Victoria Perez Mola
- How to Build Data Governance in the Cloud: Classification, Catalogs, Policies & ROI with Jessi Ashdown, Uri Gilad
- Turn Data Science Project Failures into Career Wins: Production Lessons, MLOps Fixes & Framing Failures on LinkedIn with Yury Kashnitsky
- How to Build a Data-Led Growth Stack: Event Tracking, Tracking Plans & Reverse ETL with Arpit Choudhury
- Learn in Public: Personal Branding & Career Marketing for Developers with Shawn Swyx Wang
- Switch to Computer Vision & Deep Learning: Roadmap, Kaggle Projects, Mentors & Interview Prep with Tatiana Gabruseva
- Data Science Interview Guide: CV Optimization, Take-Home Projects, Mock Interviews & Negotiation with Oleg Novikov
- Data Strategist Guide: Effective Communication to Bridge Data Teams & Management for Data-Driven Growth with Lior Barak
- Data Observability Explained: 5 Pillars to Prevent Downtime, Drift & False Positives with Barr Moses
- Career Transition from Analytics to Data Science: Build a Kaggle Notebook Portfolio, Learn Python & Get Hired with Andrada Olteanu
- From Project Manager to Data Scientist: Skills, Tools, ML Courses & Job Search with Ksenia Legostay
Season #2
- MLOps Community Playbook: Launch, Grow & Retain Meetups, Members, and Contributors with Demetrios Brinkmann
- DataOps 101 for Scaling Data Platforms: Immutable Pipelines, Self‑Service Lakehouse & Reproducibility with Lars Albertsson
- Public Speaking for Data Scientists: Master AI Evangelism, Storytelling & Keynotes with Ben Taylor
- Monetize Machine Learning: Convert Models to ARR/MRR with ML Product & MLOps Strategy with Vin Vashishta
- Build a Personal Brand: Publish on LinkedIn/Medium, Grow Audience, Monetize with Online Courses with Admond Lee Kin Lim
- Data Science Career Guide: ABC Framework (Analyst, Builder, Consultant) & Transition Tips with Danny Ma
- Optimize Decisions with ML: Prescriptive & Robust Optimization for Supply Chain and Pricing with Dan Becker
- Feature Stores for MLOps: Real-Time Feature Engineering, Feast & Tecton Guide with Willem Pienaar
- Mastering MLOps: Kubeflow Pipelines, Model Monitoring & Automated Retraining with Theofilos Papapanagiotou
- Contribute to Open Source ML: scikit-learn Pipelines, PRs, Docs & Rasa Conversational AI with Vincent Warmerdam
- DevRel for Data Science: Build Community, Create Content, and Grow Your Career with Elle O'Brien
- Master Technical Writing: 7-Day Workflow to Accelerate Your Data Science Career with Eugene Yan
Season #1
- How to Find a Mentor and Become One: Mentoring Strategies for Tech Careers with Rahul Jain
- Land Data Scientist Roles: Resumes, Portfolios, Interviews & Recruiter Workflow with Luke Whipps
- How to Build and Scale ML Teams: Hiring, MLOps & Product-Driven AI for Startups with Dat Tran
- CRISP-DM Methodology for Data Science Projects: Business Understanding, Data Preparation, Modeling, Evaluation & Deployment with Alexey Grigorev
- Data Team Roles Explained: Skills, Responsibilities, and How Teams Ship ML Products with Alexey Grigorev