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