Bio

Alexander Guschin is a Lecturer at Moscow Institute of Physics and Technology. He began his journey in data science by participating in Kaggle competitions with fellow students. His highest overall rank at Kaggle is 5th. Now Alexander teaches practical courses in competitive Data Science and works as Data Analyst in Yandex. Top positions in international data analysis competitions:

12th/1528 teams on Driver Telematics Analysis - Using telematic data to identify a driver signature, kaggle.com 12th/375 teams on Tradeshift Text Classification - Classifying text blocks in documents, kaggle.com 11th/1972 teams on Data Science Bowl 2017 - Identifying lung cancer with computed tomography, kaggle.com 10th/203 teams on Learning Social Circles in Networks - Modeling friend memberships to multiple circles, kaggle.com 4th/130 teams on From Fog Nets to Neural Nets, drivendata.org 3rd/2226 teams on Springleaf Marketing Response - Determining whether to send a direct mail piece to a customer, kaggle.com 2nd/104 teams on Countable Care - Modeling women’s health care decisions, drivendata.org 2nd/3514 teams on Otto Group Product Classification Challenge - Classifying products into the correct category, kaggle.com 1st/673 teams on Flavours of Physics - Identifying a rare decay phenomenon, kaggle.com 1st/1047 teams on Walmart Recruiting: Trip Type Classification - Using market basket analysis to classify shopping trips, kaggle.com 1st/143 teams in MIPT team on DataScienceGame 2016, datasciencegame.com