

DataTalks.Club
DataTalks.Club
DataTalks.Club - the place to talk about data!
Episodes
Mentioned books

Sep 26, 2025 • 60min
Lessons from Two Decades of AI - Micheal Lanham
Micheal Lanham, an AI innovator with 20 years of experience in diverse fields like fintech and game development, shares his remarkable journey. He delves into the evolution of AI, the impactful role of evolutionary algorithms, and practical applications of AI agents. Micheal discusses how generative AI is transforming gaming and offers insights on designing minimalistic agent workflows for efficiency. He also provides valuable career advice for aspiring AI engineers and emphasizes the importance of continuous learning in a rapidly evolving tech landscape.

Sep 26, 2025 • 49min
Berlin PyData 2025 Conference Interviews
In this engaging discussion, Selim Nowicki, founder of Distill Labs, shares how they're making specialized LLMs faster and more accessible through knowledge distillation. Yashasvi Mishra, a data engineer at Pure Storage, emphasizes the importance of explainable AI, focusing on accountability and compliance in real-world applications. Mehdi Ouazza, a developer advocate at MotherDuck, talks about leveraging creative content and workshops to drive the adoption of open-source tools like DuckDB.

Sep 26, 2025 • 1h 4min
From Astronomy to Applied ML - Daniel Egbo
Daniel Egbo, an astrophysicist turned machine learning engineer, shares his ambitious journey from the stars to data science. He dives into the Meerkat radio telescope's incredible ability to map the galaxy and the fusion of physics and machine learning for star identification. Daniel provides practical advice for beginners in data science, highlighting mentorship and resources. He reflects on his experiences with AI internships and setting up data pipelines with cutting-edge tools. Tune in for insights on skill-building and bridging astrophysics and technology!

11 snips
Sep 12, 2025 • 1h 8min
Berlin Buzzwords 2025 Conference Interviews
Kacper Łukawski, Senior Developer Advocate at Qdrant, explains the essentials of hybrid search, focusing on cost-effective models for smaller businesses. Manish Gill from ClickHouse tackles auto-scaling OLAP databases on Kubernetes. André Charton shares insights into evolving search technologies at Kleinanzeigen, transitioning from Solr to vector search. Atita Arora and Brian Goldin from Voyager Search discuss geospatial AI and the crucial role of spatial context in search retrieval. Together, they explore how AI is reshaping search functionality across industries.

14 snips
Aug 22, 2025 • 60min
From Medicine to Machine Learning: How Public Learning Turned into a Career - Pastor Soto
Pastor Soto, a medical doctor turned machine learning enthusiast, shares his inspiring journey of balancing medicine and data science. He discusses how he leveraged live courses and public sharing to enhance his skills while freelancing on platforms like Upwork. Pastor emphasizes the importance of community engagement in learning and highlights the impact of social media in shaping his professional identity. He also shares his experiences with mentorship and navigating the intersection of healthcare and technology, all while managing a demanding schedule.

16 snips
Aug 15, 2025 • 1h 2min
How to Rebuild Data Trust? Mindful Data Strategy and Maintenance vs Innovation - Lior Barak
Lior Barak, a data strategy consultant and author of 'Data is Like a Plate of Hummus', dives into the complexities of rebuilding data trust. He emphasizes the shift from a reactive culture to a mindful practice rooted in Zen principles. Topics include the alarming gap between CEO data usage and self-identified data-driven status, the innovative traffic-light dashboard for clear communication, and strategies to balance maintenance with innovation. Lior highlights turning imperfect data into value and navigating the challenges of legacy systems while fostering team resilience.

Aug 1, 2025 • 58min
From Simulations to Freelance Data Engineering: Orell's Journey Out of Academia and Into Consulting - Orell Garten
Orell Garten is a freelance data engineer with a rich background in electrical engineering and simulation algorithms. He dives into his journey from academia to freelancing, sharing lessons learned from startup life and the intricacies of working with messy industrial data. Orell discusses his early challenges in freelancing, including client acquisition and project management. He emphasizes the importance of practical tools like Python and DuckDB, and offers valuable advice on maintaining a cash runway and focusing on problem-solving over perfect tech solutions.

31 snips
Jul 25, 2025 • 58min
Can You Quit Your Job and Still Succeed as a Data Freelancer?
Dimitri Visnadi, an independent data consultant and mentor with experience consulting for major brands like Heineken and Red Bull, shares insights on transitioning from corporate to freelance work. He discusses job tenure trends in tech and the implications of freelancing, emphasizing the importance of problem-solving skills. Dimitri also highlights the freedom of a lifestyle business, balancing work with personal life, and effective strategies for client acquisition. He offers valuable market insights and explores the transitioning challenges many face when leaving traditional roles.

11 snips
May 26, 2025 • 57min
From Hackathons to Developer Advocacy - Will Russel
Will Russel, a Developer Advocate at Kestra and a creator of engaging technical content, shares his journey from hackathons to advocating for developers. He discusses the pivotal role of hackathons in building skills and community, the challenges of transitioning from participant to organizer, and the importance of mentorship in tech. Will also delves into strategies for creating compelling video content and enhancing documentation. His insights inspire those eager to make complex tech topics accessible and foster a vibrant developer community.

15 snips
May 9, 2025 • 52min
Build a Strong Career in Data - Lavanya Gupta
Lavanya Gupta, a Sr. AI/ML Applied Associate at JPMorgan Chase and CMU alumna, shares her journey from software engineering to an AI researcher. She discusses how hackathons ignited her passion for machine learning and her current work benchmarking large language models in finance. Lavanya emphasizes the importance of mentorship and networking for career growth in data science. She explores the evolving roles in the industry, the impact of continuous learning, and the balance between luck and strategy in achieving success.


