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All Podcast Episodes
Season #24
- How to Build AI That Actually Ships in Production with Aleksandr Kim
- AI Adoption in Enterprise Beyond Writing Code with Ivan Bilan
- From GenAI Pilots to Production with Nikita Kozodoi
- From Notebook to Production: Building End-to-End AI Systems with Mariano Semelman
- Competitions: Beyond the Kaggle Leaderboard with Tatiana Gabruseva
Season #23
- Starting a Data Conference: The Data Makers Fest Story with Leonid Kholkine
- Understanding the AI Engineer Role with Nasser Qadri
- Data Engineer Career in 2026: Roles, Specializations, and What Companies Look for with Slawomir Tulski
- Inside the AI Engineer Role: Tools, Skills, and Career Path with Ruslan Shchuchkin
- How to Become an AI Engineer After a Career Break with Revathy Ramalingam
- The Future of AI Agents with Aditya Gautam
- Foundations of Analytics Engineer Role: Skills, Scope, and Modern Practices with Juan Manuel Perafan
- AI Engineering: Skill Stack, Agents, LLMOps, and How to Ship AI Products with Paul Iusztin
Season #22
- Building Pet Health Tech: ML, Sensors, and Dog Behavior Data with Sofya Yulpatova
- Reinventing a Career in Tech with Xia He-Bleinagel
- From Black-Box Systems to Augmented Decision-Making with Anusha Akkina
- Practical LLM Engineering and RAG: Prompting, Evaluation and Real-World Workflows with Hugo Bowne-Anderson
- Bioinformatics Workflows in Practice: Sequencing, Metagenomics, and Open-Source Tools with Sebastian Ayala Ruano
- Applying Computer Vision Research to Building Production-Ready AI Systems for Real-World Deployment with Aishwarya Jadhav
- Building Agentic AI Systems: Pragmatic Agent Engineering, Tooling, Retrieval & Evaluation with Ranjitha Kulkarni
Season #21
- From Classical Guitar to Production ML: Nonlinear Career Path Through Semiconductors, Yield Analytics & Community-Driven Learning with Dashel Ruiz Perez
- From Game AI to LLM Agents: 20-Year Evolution of Multi-Agent Systems, Evolutionary Algorithms & Modern AI Tooling with Micheal Lanham
- From Radio Astronomy to Applied ML: MEERKAT Data Pipelines, Multi-Wavelength Cross-Matching & Production-Grade ML Systems with Daniel Egbo
- From Medicine to Machine Learning: Skill Stacking, Public Learning & Freelance-Driven Career Building with Pastor Soto
- Mindful Data Strategy for Business Impact: Wabi-Sabi Approach, Data Trust & Maintenance-Innovation Balance with Lior Barak
- From Academic Research to Lean Data Consulting: MVP Strategy, Problem-First Thinking & Freelance Practice Building with Orell Garten
Season #20
- Building a Sustainable Data Freelancing Career: Market Validation, Client Acquisition & Strategic Positioning with Dimitri Visnadi
- Developer Advocacy Through Community Impact: Technical Leadership, Open Source Mentorship & Demo-Driven Communication with Will Russell
- Applied LLM Research & Career Growth: Long-Context Evaluation, Prototyping & Industry Publishing with Lavanya Gupta
- FinOps for Data Engineers: Optimize Cloud Costs, BigQuery & Modern Data Stack with Eddy Zulkifly
- Production AI Engineering: Data Pipelines, Prompt Optimization and Caching with Bartosz Mikulski
- Lean MLOps for Startups: SaaS-First MVP Stack, Avoid Vendor Lock-In & Manage Tech Debt with Nemanja Radojkovic
- Modern Data Engineering: Iceberg, Delta Lake & AI-Powered Pipelines with Adrian Brudaru
- From Kaggle Grandmaster to Production ML: Competition Rigor, System Design & Large-Scale Education with Alexander Guschin
- Post-ChatGPT AI Infrastructure: Open Source Orchestration, On-Prem Economics & Distributed Training at Scale with Andrey Cheptsov
Season #19
- Fairness in AI/ML Engineering: Interpretability, Metrics and Sociotechnical Design with Tamara Atanasoska
- From DevOps to Data Engineering: Automation, Open Source & Volunteering for Career Transitions 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 & Adoption Strategies with Raphaël Hoogvliets
- Inside Scaling DataTalks.Club: How We Built Free Data Engineering, MLOps & LLM Courses with Alexey Grigorev
- Human-Centered Speech Recognition: ASR for Disordered Speech and Accents with Katarzyna Foremniak
- Urban Data Science: Transport Analytics, Sensors and Liveable Cities with Rachel Lim
Season #18
- DataOps for Data Engineering: Automation, Observability, CI/CD & Reliable ML Deployments with Christopher Bergh
- Building a Domestic Risk Assessment Tool: Data Cleaning, Risk Scoring Models and Privacy Compliance with Sabina Firtala
- Community Building and Teaching in AI & Tech: Project-to-Course Model for AI Education with Erum Afzal
- Open Source ML Tools: Scikit-Learn Governance, Sustainability and Business Models with Vincent Warmerdam
- AI for Ecology, Biodiversity, and Conservation: Computer Vision, Remote Sensing and 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, Stakeholder Skills and Team Impact with Tereza Iofciu
Season #17
- Building Search Systems: Dense Embeddings, MLOps and Evaluation Metrics with Daniel Svonava
- Production ML Search: Embeddings, Hybrid Architectures and Scalable Indexing with Reem Mahmoud
- Open Source and Volunteering: Building AI Projects and Career Momentum with Sara EL-ATEIF
- Tech Job Search Strategy: Portfolio Projects, Resume Tips and Networking with Sarah Mestiri
- MLOps in Finance: Regulated Deployment, CI/CD and Model Governance with Nemanja Radojkovic
- Bayesian Modeling: PyMC, Stan and Probabilistic Programming Workflows with Rob Zinkov
- Algorithmic Trading with Python: Backtesting, Risk Management and Deployment with Ivan Brigida
- Modern Search Systems: Vector Databases, LLMs and Semantic Retrieval with Atita Arora
- From Data Freelancer to Startup: Open-Source Products and Bottom-Up Adoption with Adrian Brudaru
Season #16
- Becoming a Data Freelancer: Pricing, Client Acquisition and Contract Strategy with Dimitri Visnadi
- Building Digital Health Startups: MVP Strategy, AI Diagnosis and Telemedicine with Maria Bruckert
- Interpretable Machine Learning: SHAP, Conformal Prediction and Model Trust with Christoph Molnar
- From Software Engineer to VP of Machine Learning: Stakeholder Buy-In, Rapid POCs and Full-Stack Skills with Jack Blandin
- Launching a Freelance Generative AI Business: NLP Services and Client Acquisition with Verena Weber
- Building Data Products at Scale: Intake, A/B Testing, and MLOps in a Marketing Organization with Ioannis Mesionis
- Building Healthcare ML Systems: From Sepsis Prediction to Low-Resource Clinical Deployment with Eleni Stamatelou
- Building a Sustainable Data Community: 3 Years of DataTalks.Club Growth and Evolution with Alexey Grigorev, Johanna Bayer
Season #15
- Build and Scale Data Engineering Systems for Fraud Detection: Feature Pipelines, Real-Time Inference, Graph Databases & Production Debugging with Angela Ramirez
- From Hands-On IoT Data Engineering to Leading Data Architecture: Pipelines, Cloud Adaptation & Analytics Modeling with Loïc Magnien
- Pragmatic MLOps: Build Standardized CI/CD, Model Registries, Monitoring & Org Best Practices with Maria Vechtomova
- Causal Inference for Real-World ML: Uplift Modeling, Counterfactuals, Treatment Effects & LLM Integration with Aleksander Molak
- Remote Data Engineering Life: Building IoT Platforms, Career Transitions & Newsletter-Driven Personal Growth with José María Sánchez Salas
- LLM Value Creation: GPT Communities, Business Use Cases & Human-in-the-Loop AI Applications with Sandra Kublik
- Deploying LLMs in Production: Fine-Tuning, Retrieval & Open-Source vs API Tradeoffs with Meryem Arik
- Early-Stage Investing in Open Source Developer Tools: Deal Sourcing, Due Diligence & Commercialization Models with Bela Wiertz
- ML System Design Playbook: Fail-Fast Design Docs, Modular Architecture & Data Drift Monitoring with Valerii Babushkin
Season #14
- Build Explainable and Actionable AI/ML Systems: Industrial PhD, Trust Theory & Production Deployment with Polina Mosolova
- Building Production ML Platforms: Infrastructure, Workflows, Teams & Governance That Scale with Simon Stiebellehner
- Modern Data Pipeline Architecture: Ingestion, Orchestration, Transformation & MLOps Systems with Santona Tuli
- DevRel Role for Machine Learning: ML Ecosystems, Open-Source Governance & Developer Experience with Metaflow with Hugo Bowne-Anderson
- Freelance Data Scientist Playbook: MLOps, Model Monitoring, Upwork & Startup Skills with Antonis Stellas
- Data Governance & 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
- Build Open-Source NLP Tools: Weak Supervision, LLM Heuristics & Enterprise ML Product Strategy 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
- Software Engineering for ML: Prevent Hidden Technical Debt with MLOps, Documentation & Team Alignment 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
- Transitioning from Academia to Industry as a Staff AI Engineer: Interview Prep, MLOps & Onboarding with Tatiana Gabruseva
- How to Grow Your ML Engineering Career: Platform Work, LLM Workflows & Debugging Skills with Krzysztof Szafanek
- Master Machine Learning & Data Science Interviews: Recruiter-Proven Stages, Prep & Resources with Luke Whipps
- Indie Hacking and Bootstrapping Side Projects for Data Scientists: Build, Launch & Monetize Indie Hacker Products with Pauline Clavelloux
- Teaching Open Science & Reproducible Research: Research Software Engineering Practices for Academia with Johanna Bayer
- Data-Centric AI: Improve Label Quality & Edit Datasets to Boost Model Performance with Marysia Winkels
- Practical Skills for Data Professionals in SaaS: Bridging the Gap between Data and Business 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
- Building Data Products at Scale: Recommenders, Domain Ownership, and Hiring for Production ML with Anna Hannemann
- Building and Scaling Data Science Practice in Industrial Enterprises: AI Adoption, MLOps Maturity & Career Growth with Andrey Shtylenko
- Building an Open-Source ML-Powered Identity Resolution Tool in the Modern Data Stack with Sonal Goyal
- DataOps & GitOps for Data Teams: Onboarding, IaC, Reproducibility & Production Best Practices with Tomasz Hinc
- How to Hire, Manage, and Grow a Data Science Team 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
- Data Science Jobs: How to Spot Misleading 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
- From Developer to Startup Founder: Building a Career Through Open Source with Will McGugan
- Designing High-Impact Data Science Teams: 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
- Data Engineering Job Prep & Interview Guide: Python, SQL, Portfolio & Job Search Tips 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
- Using Visualizations to Explain 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: Pricing, Client Acquisition & Proposals 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 Strategist Guide: Effective Communication to Bridge Data Teams & Management for Data-Driven Growth with Lior Barak
- Data Science Interview Guide: CV Optimization, Take-Home Projects, Mock Interviews & Negotiation with Oleg Novikov
- 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