Sergey Zakharov

- Developed data pipelines for analytical backends using SQL (PostgreSQL), Python data tools (pandas, numpy) and big data (Druid) - Built Dash/Plotly dashboards that provide visual trade analytics - Implemented and maintained the Python backend part for the dashboards - Transitioned data pipelines from MySQL to PostgreSQL and from Cassandra to Druid - Covered my code with tests, provided quality code passing linting and typing checks

Used big data tools like PySpark, Hive and Python's data stack to provide analytical and statistical solutions for a major Russian retail company. Performed A/B testing for the offline retail chain. Built Python containerized backend for a callcenter voice bot using Pytransitions, Python data stack, Gensim etc. Conducted text analytics on customer reviews. Performed code reviews.

Create predictive models to predict users' behavior. User profiling. Develop recommendation systems. Use text mining to find closest texts and to build features for ML models. Acquire and refine data to be used in data mining tasks.

Conducted business/systems analysis for a large number of business intelligence (BI) projects Provided documentation, i.e. work-flows, specifications, etc. Implemented change requests communicating users’ needs to development teams