DataTalks.Club Competitive Machine Leaning And Teaching – Alexander Guschin
Feb 14, 2025
Join Alexander Guschin, a Kaggle Grandmaster and seasoned Machine Learning Engineer, as he shares his journey from Moscow to teaching over 100K students. Discover how participating in Kaggle competitions can jumpstart a career in machine learning and the significance of teamwork versus solo efforts. Guschin emphasizes the value of community support, the evolution of teaching methods, and practical applications in education. He also explores the impact of generative AI and AutoML on competitive data science, offering insights on how to persuade management about Kaggle's benefits.
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Alexander's Career Path
- Alexander Guschin's career began at a Moscow university, driven by a fascination with machine learning.
- He transitioned from Kaggle to industry roles at Avito, Yandex, Mechanica AI, and Iterative, eventually returning to academia.
Early Kaggle Success
- Alexander's Kaggle journey started during university, where he sought practical ML experience to complement theoretical coursework.
- Active in Moscow's Kaggle community and skipping lectures helped him win competitions within six months.
Kaggle's Career Benefits
- Kaggle broadens ML perspectives, teaches practical skills, and offers networking opportunities.
- Alexander credits Kaggle for helping him choose a career path and land a job at Avito.