Elena K.

Senior Data Scientist

Elena has 6+ years of experience, working as a Data Scientist. She has experience from a wide variety of use cases ranging from recommendation image-based systems for clothing catalogs, search query classification models to advanced vehicle feature recommendation systems.

Main expertise

  • Python Python 7 years
  • Data Engineering Data Engineering 5 years
  • Data Science Data Science 5 years

Other skills

  • TensorFlow TensorFlow 4 years
  • Keras Keras 4 years
  • XGBoost XGBoost 4 years

Elena K.

41.90 € hourly

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Selected experience


  • Data Science Team Lead

    Evo - 1 year 5 months

    • Managed a team of 5 Data scientists.
    • Worked in an Agile way to orchestrate cross-functional projects for designing and testing new algorithms and models.
    • Supported the organization to derive value from data science and analytics.
    • Engaged with stakeholders to consult around analytical project requirements, discussed methodologies, and negotiated deliverables.
    • Developed a recommendation image-based system for a clothes catalog.


    • Technologies:
    • Python Python
    • TensorFlow TensorFlow
    • XGBoost XGBoost
    • Pandas Pandas
    • Databricks Databricks
  • Senior Data Scientist

    Cloudmade - 2 years 2 months

    • Developed the advanced vehicle features recommendation system based on personal preferences and fleet patterns.
    • Developed route and destination prediction based on vehicle and mobile phone signals.
    • Developed a simulation traffic agent for the real city.
    • Developed a traffic estimation on a mobile phone camera.
    • Developed a detection that the driver is going to the car based on time series data.


    • Technologies:
    • Python Python
    • TensorFlow TensorFlow
    • XGBoost XGBoost
    • Pandas Pandas
    • Databricks Databricks
  • Middle Data Scientist

    PrivatBank - 2 years

    • Research new opportunities what can be done.
    • Support existing credit models.
    • The previous scorecard model based on Logistic Regression was changed on the ensemble of boosting models with a great increase of model’s metrics.
    • The model was deployed in production as API and worked in real-time.
    • Developed the model which detects rudeness speech in dialogs between clients and managers in bank branches.
    • Developed the model for money withdrawal prediction from ATM.


    • Technologies:
    • Python Python
    • OpenCV OpenCV
    • TensorFlow TensorFlow
    • PostgreSQL PostgreSQL
    • XGBoost XGBoost
  • Junior Data Scientist

    Pocketguard - 5 months

    • Provide customers analytics.
    • Develop one of the core application features - prediction of users’ spends.


    • Technologies:
    • Python Python


  • MSc.Systems and Methods for Decision Making

    Oles Honchar Dnipropetrovsk National University · 2014 - 2015

  • BSc.System Analysis

    Oles Honchar Dnipropetrovsk National University · 2010 - 2014

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