Projekt‐ & Berufserfahrung
7/2021 – offenTätigkeitsbeschreibung
Teamlead role. Managing and creating a team of 2 DataScience, 1 analytic and 2 data Engineers;
managed to create an integrated approach for team members in less than 1 month.
● Warehouse architecture/optimization/development. Creating an architecture of Warehouse, including
interests of all stakeholders and project specifications, finding the best technological stack, and deploying
the Warehouse's architecture.
● ML Development/Deployment. Creating a Holistic Recommendation System that increases the
transaction activity of guests up to 110%
Engineering data management (EDM)
3/2021 – 7/2021Tätigkeitsbeschreibung
● Data engineering pipeline using docker (scraping the data, transforming the data) (Company: Financial
● Models development and deployments for Ukrainian Bank (creating predictive marketing models: such
as LTV, uplift model, look-alike etc.; developing a recommendation system for most preferable products.)
The efficiency of development increases in conversion for product interest by up to 30%.
● NLTK range model for search optimization. I am creating a list of the most important features that
influence the click rate for users' searches. Increase click rate up to 30% — deployment model with
Elasticsearch and Docker
● Warehouse architecture/
● Data Engineer Pipelines Deployment
● NLP data analysis, Recommenders
● SQL, NoSQL
● TeamLead skills
deployment and analytics. A confident user of Various Machine Learning algorithms: Regressions, Time Series, Naive Byas, NLP, Recommenders, etc. A data-driven developer with highly adaptive skills in analyzing and investigating.