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Season #13
- 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
- The Journey of a Data Generalist: From Bioinformatics to Freelancing with Jekaterina Kokatjuhha
- 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
Season #1
- Mentoring with Rahul Jain
- Standing out as a Data Scientist with Luke Whipps
- Building a Data Science Team with Dat Tran
- Processes in a Data Science Project with Alexey Grigorev
- Roles in a Data Team with Alexey Grigorev
📝 – episodes with transcription