Elena K.

Senior Data Scientist

Elena has 6+ years of experience working as a Data Scientist. She is skilled in various popular programming languages.

Elena has experience in Python, Data Engineering, Data Science, Apache Kafka, Apache Spark, Azure Data Factory, Teradata, and Neo4j.

She is exceptionally skilled in recommending image-based systems for clothing catalogs, search query classification models, to advanced vehicle feature recommendation systems.

Main expertise
  • Python
    Python 7 years
  • Data Science 5 years
  • Data Engineering 5 years
Other skills
  • TensorFlow
    TensorFlow 4 years
  • XGBoost
    XGBoost 4 years
  • Pandas
    Pandas 4 years
Elena K.
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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 in deriving 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 catalogue.


    • 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 that 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 in the model's metrics.
    • The model was deployed in production as an API and worked in real-time.
    • Developed a model which detects rude speech in dialogues between clients and managers in bank branches.
    • Developed the model for money withdrawal prediction from an ATM.


    • Technologies:
    • Python Python
    • OpenCV OpenCV
    • TensorFlow TensorFlow
    • PostgreSQL PostgreSQL
    • XGBoost XGBoost


  • 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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