Slava Nazarov

Experience Python (ad-hock, merge data, K-means clustering, FastApi, ORM, numpy, pandas, matplotlib. sklearn) - Visualization of data in python and Bi (powerBI, Apache Superset),

Experience with SQL (window functions, CTE, joins, queries for the showcase query optimization); Python - data processing, connection from different sources, ad-hoc, visualization;

- Working with Airflow - automation of reporting, ETL processes (Python), alerts

- sales funnels, customer paths, creating complex dashboards in PowerBI and Apache Superset

- knowledge of the principles of development in terms of the implementation of analytics in the product;

- building team relationships within the analytics team, as well as with the development team

- AA and AB-testing and math statistics

I create new/maintain current volumetric dashboards to evaluate the current indicators of user activity on the site and in applications.

I automate weekly/daily reports for related departments - the freed up time was spent searching for additional insights.

I support the work of the new DWH storage on Postgres, data migration, creation of new data storefronts.

Hard Skills:

• PostgreSQL, MSSQL, Clickhouse, BigQuery (CTE, window functions, join)
• Python (stats, pandas, numpy, sklearn, matplotlib, seaborn, ORM),
• Gitlab, git
• Power BI, Superset,
• GA, AppsFlyer

Soft Skills:

• working in a cross-functional team.
• support for novice specialists
• communication with business customers