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 7 years
- Data Engineering 5 years
- Data Science 5 years
Other skills
TensorFlow 4 years
Keras 4 years
XGBoost 4 years
Selected experience
Employment
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:
- Technologies:
Python
TensorFlow
XGBoost
Pandas
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:
- Technologies:
Python
TensorFlow
XGBoost
Pandas
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:
- Technologies:
Python
OpenCV
TensorFlow
PostgreSQL
XGBoost
Junior Data Scientist
Pocketguard - 5 months
- Provide customers analytics.
- Develop one of the core application features - prediction of users’ spends.
Technologies:
- Technologies:
Python
MSSQL
Education
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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