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Season #20
- From Hackathons To Developer Advocacy with Will Russell
- Build a Strong Career in Data with Lavanya Gupta
- From Supply Chain Management to Digital Warehousing and FinOps with Eddy Zulkifly
- Data Intensive AI with Bartosz Mikulski
- MLOps in Corporations and Startups with Nemanja Radojkovic
- Trends in Data Engineering with Adrian Brudaru
- Competitive Machine Learning and Teaching with Alexander Guschin
- Trends in AI Infrastructure with Andrey Cheptsov
Season #19
- Linguistics and Fairness with Tamara Atanasoska
- Career choices, transitions and promotions in and out of tech with Agita Jaunzeme
- Career advice, learning, and featuring women in ML and AI with Isabella Bicalho
- AI in Industry: Trust, Return on Investment and Future with Maria Sukhareva
- Large Hadron Collider and Mentorship with Anastasia Karavdina
- MLOps as a Team with Raphaël Hoogvliets
- DataTalks.Club Anniversary Podcast with Alexey Grigorev
- Human-Centered AI for Disordered Speech Recognition with Katarzyna Foremniak
- Using Data to Create Liveable Cities with Rachel Lim
Season #18
- DataOps, Observability, and The Cure for Data Team Blues with Christopher Bergh
- Building a Domestic Risk Assessment Tool with Sabina Firtala
- Community Building and Teaching in AI & Tech with Erum Afzal
- Working in Open Source - Probabl.ai and sklearn with Vincent Warmerdam
- AI for Ecology, Biodiversity, and Conservation with Tanya Berger-Wolf
- Knowledge Graphs and LLMs Across Academia and Industry with Anahita Pakiman
- Inclusive Data Leadership Coaching with Tereza Iofciu
Season #17
- Building Production Search Systems with Daniel Svonava
- Building Machine Learning Products with Reem Mahmoud
- Make an Impact Through Volunteering Open Source Work with Sara EL-ATEIF
- Accelerating The Job Hunt for The Perfect Job in Tech with Sarah Mestiri
- Machine Learning Engineering in Finance with Nemanja Radojkovic
- Bayesian Modeling and Probabilistic Programming with Rob Zinkov
- Stock Market Analysis with Python and Machine Learning with Ivan Brigida
- Searching Beyond the Surface: Navigating Challenges and Innovations in Search Technologies with Atita Arora
- The Entrepreneurship Journey: From Freelancing to Starting a Company with Adrian Brudaru
Season #16
- Become a Data Freelancer with Dimitri Visnadi
- AI for Digital Health with Maria Bruckert
- Cracking the Code: Machine Learning Made Understandable with Christoph Molnar
- The Unwritten Rules for Success in Machine Learning with Jack Blandin
- From a Research Scientist at Amazon to a Machine learning/AI Consultant with Verena Weber
- From Marketing to Product Owner in Search with Lera Kaimashnіkova
- Collaborative Data Science in Business with Ioannis Mesionis
- Bridging Data Science and Healthcare with Eleni Stamatelou
- DataTalks.Club Anniversary Interview with Alexey Grigorev, Johanna Bayer
Season #15
- Data Engineering for Fraud Prevention with Angela Ramirez
- From Data Manager to Data Architect with Loïc Magnien
- Pragmatic and Standardized MLOps with Maria Vechtomova
- Democratizing Causality with Aleksander Molak
- Mastering Data Engineering as a Remote Worker with José María Sánchez Salas
- The Good, the Bad and the Ugly of GPT with Sandra Kublik
- LLMs for Everyone with Meryem Arik
- Investing in Open-Source Data Tools with Bela Wiertz
- Why Machine Learning Design is Broken with Valerii Babushkin
Season #14
- Interpretable AI and ML with Polina Mosolova
- From Scratch to Success: Building an MLOps Team and ML Platform with Simon Stiebellehner
- From MLOps to DataOps with Santona Tuli
- Data Developer Relations with Hugo Bowne-Anderson
- Lessons Learned from Freelancing and Working in a Start-up with Antonis Stellas
- Data Access Management with Bart Vandekerckhove
- Data Strategy: Key Principles and Best Practices with Boyan Angelov
- Practical Data Privacy with Katharine Jarmul
- Building Scalable and Reliable Machine Learning Systems with Arseny Kravchenko
Season #13
- Building an Open-Source NLP Tool with Johannes Hötter
- Navigating Industrial Data Challenges with Rosona Eldred
- Mastering Self-Learning in Machine Learning with Aaisha Muhammad
- The Secret Sauce of Data Science Management with Shir Meir Lador
- SE4ML - Software Engineering for Machine Learning with Nadia Nahar
- Starting a Consultancy in the Data Space with Aleksander Kruszelnicki
- Biohacking for Data Scientists and ML Engineers with Ruslan Shchuchkin
- Analytics for a Better World with Parvathy Krishnan
- Accelerating the Adoption of AI through Diversity with Dânia Meira
Season #12
- Staff AI Engineer with Tatiana Gabruseva
- Navigating Career Changes in Machine Learning with Krzysztof Szafanek
- Preparing for a Data Science Interview with Luke Whipps
- Indie Hacking with Pauline Clavelloux
- Doing Software Engineering in Academia with Johanna Bayer
- Data-Centric AI with Marysia Winkels
- Business Skills for Data Professionals with Loris Marini
- From Software Engineer to Data Science Manager with Sadat Anwar
Season #11
- Teaching and Mentoring in Data Analytics with Irina Brudaru
- Technical Writing and Data Journalism with Angelica Lo Duca
- From Digital Marketing to Analytics Engineering with Nikola Maksimovic
- Product Owners in Data Science with Anna Hannemann
- Building Data Science Practice with Andrey Shtylenko
- Large-Scale Entity Resolution with Sonal Goyal
- From Data Science to DataOps with Tomasz Hinc
- Data Science Career Development with Katie Bauer
- From Testing Phones to Managing NLP Projects with Alvaro Navas Peire
Season #10
- Responsible and Explainable AI with Supreet Kaur
- Leading Data Research with David Bader
- Dataset Creation and Curation with Christiaan Swart
- Data Mesh 101 with Zhamak Dehghani
- Growing Data Engineering Team in a Scale-Up with Mehdi OUAZZA
- Lessons Learned About Data & AI at Enterprises with Alexander Hendorf
- MLOps Architect with Danny Leybzon
- Decoding Data Science Job Descriptions with Tereza Iofciu
- Data Science for Social Impact with Christine Cepelak
Season #9
- Hiring Data Science Talent with Olga Ivina
- From Open-Source Maintainer to Founder with Will McGugan
- Designing a Data Science Organization with Lisa Cohen
- Developer Advocacy Engineer for Open-Source with Merve Noyan
- Data Scientists at Work with Mısra Turp
- Freelancing and Consulting with Data Engineering with Adrian Brudaru
- Getting a Data Engineering Job (Summary and Q&A) with Jeff Katz
- Using Data for Asteroid Mining with Daynan Crull
- Machine Learning in Marketing with Juan Orduz
Season #8
- From Academia to Data Analytics and Engineering with Gloria Quiceno
- Teaching Data Engineers with Jeff Katz
- From Roasting Coffee to Backend Development with Jessica Greene
- Recruiting Data Engineers with Nicolas Rassam
- Storytime for DataOps with Christopher Bergh
- Machine Learning and Personalization in Healthcare with Stefan Gudmundsson
- Innovation and Design for Machine Learning with Liesbeth Dingemans
- Hacking Your Data Career with Marijn Markus
- Visualising Machine Learning with Meor Amer
Season #7
- From Math Teacher to Analytics Engineer with Juan Pablo
- From Data Science to Data Engineering with Ellen König
- Becoming a Data Engineering Manager with Rahul Jain
- A/B Testing with Jakob Graff
- Machine Learning System Design Interview with Valerii Babushkin
- Career Coaching with Lindsay McQuade
- Product Management Essentials for Data Professionals with Greg Coquillo
- Recruiting Data Professionals with Alicja Notowska
- DataTalks.Club Behind the Scenes with Eugene Yan, Alexey Grigorev
Season #6
- Becoming a Data Science Manager with Mariano Semelman
- Leading NLP Teams with Ivan Bilan
- Product Management for Machine Learning with Geo Jolly
- Moving from Academia to Industry with CJ Jenkins
- Advancing Big Data Analytics: Post-Doctoral Research with Eleni Tzirita Zacharatou
- Becoming a Data Product Manager with Sara Menefee
- Data Science Manager vs Data Science Expert with Barbara Sobkowiak
- Ace Non-Technical Data Science Interviews with Nick Singh
- Becoming a Solopreneur in Data with Noah Gift
Season #5
- Building Business Acumen for Data Professionals with Thom Ives
- Conquering the Last Mile in Data with Caitlin Moorman
- Similarities and Differences between ML and Analytics with Rishabh Bhargava
- Building and Leading Data Teams with Tammy Liang
- What Researchers and Engineers Can Learn from Each Other with Mihail Eric
- Introducing Data Science in Startups with Marianna Diachuk
- Defining Success: Metrics and KPIs with Adam Sroka
- Making Sense of Data Engineering Acronyms and Buzzwords with Natalie Kwong
- Mastering Algorithms and Data Structures with Marcello La Rocca
Season #4
- Chief Data Officer with Marco De Sa
- Freelancing in Machine Learning with Mikio Braun
- Launching a Startup: From Idea to First Hire with Carmine Paolino
- Humans in the Loop with Lina Weichbrodt
- Running from Complexity with Ben Wilson
- I Want to Build a Machine Learning Startup! with Elena Samuylova
- Big Data Engineer vs Data Scientist with Roksolana Diachuk
- Build Your Own Data Pipeline with Andreas Kretz
- From Software Engineering to Machine Learning with Santiago Valdarrama
Season #3
- Analytics Engineer: New Role in a Data Team with Victoria Perez Mola
- Data Governance with Jessi Ashdown, Uri Gilad
- What Data Scientists Don’t Mention in Their LinkedIn Profiles with Yury Kashnitsky
- Becoming a Data-led Professional with Arpit Choudhury
- How to Market Yourself (without Being a Celebrity) with Shawn Swyx Wang
- From Physics to Machine Learning with Tatiana Gabruseva
- What I Learned After Interviewing 300 Data Scientists with Oleg Novikov
- Effective Communication with Business for Data Professionals with Lior Barak
- Data Observability: The Next Frontier of Data Engineering with Barr Moses
- Shifting Career from Analytics to Data Science with Andrada Olteanu
- Transitioning from Project Management to Data Science with Ksenia Legostay
Season #2
- Building Online Tech Communities with Demetrios Brinkmann
- DataOps 101 with Lars Albertsson
- The Essentials of Public Speaking for Career in Data Science with Ben Taylor
- New Roles and Key Skills to Monetize Machine Learning with Vin Vashishta
- Personal Branding with Admond Lee Kin Lim
- The ABC’s of Data Science with Danny Ma
- Translating ML Predictions Into Better Real-World Results with Decision Optimization with Dan Becker
- Feature Stores: Cutting through the Hype with Willem Pienaar
- The Rise of MLOps with Theofilos Papapanagiotou
- Getting Started with Open Source with Vincent Warmerdam
- Developer Advocacy for Data Science with Elle O'Brien
- The Importance of Writing in a Tech Career with Eugene Yan