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Evgenii KochergaEK

Evgenii Kocherga

Full Stack Data Scientist / Python Developer

€400/day
Amsterdam, NL
8-15 years

Average response time: 1 hour

About Evgenii

Hi there!
My name is Evgenii, currently living in Amsterdam. I'm a DataScientist with 8 years of experience, which includes not only fitting models, or talking to managers, but also providing fine production python/scala code and documentation. I'm proficient in Reporting Analyse, Cloud Services, Machine Learning Engineering and a variety of other things. And this is what I appreciate in programming - huge amount of new different things everywhere and uncountable possibilities of doing things.
  • Russian

    Native or bilingual

  • English

    Fluent

Can work on-site
Amsterdam (up to 50km)

Experience

  • Azerion
    Data Scientist
    DIGITAL AND IT
    November 2020 - Today (5 years and 7 months)
    Amsterdam, Netherlands
    Azerion - Media Platform with core business around advertisements. As a Data Scientist, my responsibility to maintain different models around pairing user/publisher with campaign/advertiser.
    Among projects:
    1. CTR prediction for comparing CPC and CPM bids
    2. Advertiser response prediction
    3. Productionalising ML models with Scala, H2O and AWS
    Machine learning Scala AWS Python
  • Huawei
    Data Scientist
    DIGITAL AND IT
    March 2020 - December 2020 (9 months)
    Saint Petersburg City, Russia
    Petal - General Search Engine of the Huawei.
    As part of the team, I had two main responsibilities:
    1. Generate new features for ranking model as documented and wrapped with tests production code.
    2. Quality Control of assessors, marking quality of query-document pairs.
    As the most proud result - highly modified adaptable variation of Dawid-Skene algorithm as the instrument to convert unreliable answers from crowd-platform into measurable quality of models and assessors.
    NLP Machine learning Python noSQL
  • Game of Whales
    Data Scientist / Machine Learning Engineer
    DIGITAL AND IT
    August 2019 - March 2020 (7 months)
    Saint Petersburg City, Russia
    Develop and tuning of ML models, based on neural nets.
    The company itself - b2b for mobile game developers, provided variety of services to keep track on efficiency of the game. My part was to create a model, suggesting some possible in-game pop-ups to encourage in-game purchases. As it's hard to maintain every model separately, and each game has its own unique set of actions, purchases, currencies, statuses and overall flow of gaming experience, I had to create sort of Fabric for NN models, create a proper validation and testing over multiple datasets and maintaince/reporting dashboards about it.
    Deep Learning Python SQL

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Education

  • Master's degree, Applied Maths and Informatics
    National Research Nuclear University 'MEPhI'
    2014
    With honours.

Skill set (27)

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