Senior Data Scientist at H2O.ai, Dmitry also is a former #25 Kaggle Grandmaster and loves to use his machine learning and data science skills in Kaggle Competitions and predictive analytics software development. He has more than 15 years of experience in information technology. Post his masters in computer information systems from Krasnoyarsk State Technical University (KSTU), he started his career in data warehousing and business intelligence and gradually moved to big data and data science. He holds a lot of experience in predictive analytics in a wide array of domains and tasks. Prior to H2O.ai, Dmitry held the position of SAP BW Developer at Chevron, Data Scientist at EPAM, and that of Lead Software Engineer with the Russian Federation.
Robust approach to machine learning models comparison
Leaderboard shake up and overfitting are commonly known problems in Kaggle competitions. In his talk Dmitry is going to share an interesting approach to model’s performance validation which proven to be useful on Kaggle competitions with noisy data.