Mikhail Trofimov is a PhD student at Dorodnicyn Computing Centre of Russian Academy of Sciences.

He holds Master degree in Intelligent Data Analisys from the Moscow Institute of Physics and Technology.

His highest overall rank at Kaggle is 21st.

Top positions in international data analysis competitions:

14th/170 teams on The Allen AI Science Challenge - Learning model to pass 8th grader exam, kaggle.com

11th/1972 teams on Data Science Bowl 2017 - Identifying lung cancer with computed tomography, kaggle.com

9th/952 teams on Acquire Valued Shoppers Challenge - Predictung which shoppers will become repeat buyers, kaggle.com

5th/3514 teams on Otto Group Product Classification Challenge - Classifying products into the correct category, kaggle.com

3rd/377 teams on Microsoft Malware Classification Challenge (BIG 2015) - Classifying malware into families based on file content and characteristics, kaggle.com

2nd/285 teams on The Hunt for Prohibited Content - Predicting which ads contain illicit content, kaggle.com

2nd/1326 teams on Crowdflower Search Results Relevance - Predict the relevance of search results from eCommerce sites, kaggle.com

1st/143 teams in MIPT team on DataScienceGame 2016, datasciencegame.com