Yury Kashnitsky

Yury Kashnitsky

Senior Machine Learning Scientist, NLP researcher, Ph.D. in applied math

Elsevier. Amsterdam, Netherlands

yury.kashnitsky@gmail.com

Teaching

Open Machine Learning Course mlcourse.ai

GitHub

Mostly data analysis notebooks

Work Experience

  • Data Scientist
    2018-curr., KPN

    Text analytics group. Extracting valuable insights from customer contacts - chats, calls and emails. Exploring state-of-the-art approaches to transfer learning for NLP

  • Machine Learning expert
    2018, Raison.ai

    Sentiment analysis of news on cryptocurrencies. Fine-tuning neural language models, investigating state-of-the-art approaches to sentiment classification

  • Data Scientist
    2017-2018, Mail.Ru Group

    Improving content recommendations for MyWidget (integrated into production), predictive analytics for marketing department and MyTracker BI tool (whole production from scratch)

  • Machine Learning tutor
    2015-2018, Higher School of Economics

    Additional professional education - courses in data analysis and machine learning. In these courses, an optimal mixture of theoretical and practical parts is maintained. With lots of practice, homeworks, Kaggle competitions and individual projects students actually acquire practical skills, while thorough in-depth discussion of some algorithms fosters theoretical understanding of applied methods

  • Research Assistant
    2013-2016, Higher School of Economics

    International Scientific-Educational Laboratory for Intelligent Systems and Structural Analysis

  • Java Developer
    2013, RDTEX

    Java local DB application development with Swing and Derby DB

  • Junior BI developer
    2011-2013, RDTEX

    Oracle Business Intelligence Answers & Interactive dashboards development

  • 3D virtual reality application developer
    2009-2011, MRTI (Moscow Radio-Technical Institute)

    RF Audit Chamber's project for strategic auditing and monitoring the results of Russian socio-economical development investigation

Education

  • Higher School of Economics (HSE)
    2013-2017

    Ph.D. degree, Applied Mathematics

  • Moscow Institute of Physics and Technology (State University) (MIPT)
    2011-2013

    Master's degree, Applied Mathematics and Computer Science, GPA 4.79

  • Moscow Institute of Physics and Technology (State University) (MIPT)
    2007-2011

    Bachelor's degree, Applied Mathematics and Physics, GPA 4.53