Large Hadron Collider and Mentorship – Anastasia Karavdina

We talked about: 00:00 DataTalks.Club intro 00:00 Large Hadron Collider and Mentorship 02:35 Career overview and transition from physics to data science 07:02 Working at the Large Hadron Collider 09:19 How particles collide and the role of detectors 11:03 Data analysis challenges in particle physics and data science similarities 13:32 Team structure at the Large Hadron Collider 20:05 Explaining the connection between particle physics and data science 23:21 Software engineering practices in particle physics 26:11 Challenges during interviews for data science roles 29:30 Mentoring and offering advice to job seekers 40:03 The STAR method and its value in interviews 50:32 Paid vs unpaid mentorship and finding the right fit ​About the speaker: ​Anastasia is a particle physicist turned data scientist, with experience in large-scale experiments like those at the Large Hadron Collider. She also worked at Blue Yonder, scaling AI-driven solutions for global supply chain giants, and at Kaufland e-commerce, focusing on NLP and search. Anastasia is a mentor for Ml/AI, dedicated to helping her mentees achieve their goals. She is passionate about growing the next generation of data science elite in Germany: from Data Analysts up to ML Engineers. Join our Slack: https://datatalks .club/slack.html