Anastasia Karavdina
My background is particle physics, where I was completely spoiled by access to large amounts of data and the freedom to try out every hot ML algorithm on it. The experiments I participated in were so-called large scale experiments (e.g Large Hadron Collider) and had from 500+ up to 2.5k other people working on them. So in addition to physics, I was exposed to the best software development practices that helped us to avoid a complete mess and destroy the Universe.
Afterwards I was working as Data Scientist in various fields and recently became "Solution Architect ML/AI and BI" at big enterprise company.
During my free time, I like learning new tools and techniques and implementing them in end-to-end AI/ML and IoT projects. My experience has also been very helpful in guiding data analysts, data scientists, and machine learning engineers as a mentor and contributing to the growth of the next generation of data scientist elite.
Session
Mentorship is a powerful way to shape careers while building meaningful connections in the data field. In this talk, I’ll share my journey as a professional mentor, what the role entails, and the impact it has on both mentees and mentors. Learn how mentorship drives growth, fosters innovation, and creates value for the data community—and why you should consider stepping into this rewarding role.