Position: Product Analyst
Category: Data Analyst
English level: pre
Years of experience: 1


1.Time-series analysis and forecasting.
2.Developed an anomaly alerting system for business metrics,
taking into account seasonal trends based on ML models and
real-time alerting in Telegram.
3.A/B test validation experience.
4.Conduct deep exploratory data analysis, identifying and
cleaning data inconsistencies.
5.Worked with databases in ClickHouse and Postgres, extracting data for analysis and developing queries to specific tasks.
6.Conducted analyses of user text messages using regex.
7.Developed Tableau dashboards tailored to specific needs and queries.
8.Created presentations for stakeholders with project analysis
results, including the impact of linear experiments on North Star metrics and intermediate metrics.

Big Data parser project:
-Found the optimal path for parsing ~800,000 links comparing the
performance of BeautifulSoup, lxml, Selectolax.parser
-Increased download speed from 1 week to 7-8 hours using GNU
WGET.
-Increased parsing speed by 10 times using Selectolax.parser with open requests session compared to BeautifulSoup, lxml.
-Received a dictionary with the main elements of a news site pages.
-Cleared ~800,000 items using Pandas and regular expressions.
-Created and configured a MySQL database using the correct data types and stored all the cleaned data there with mysql.connector.