Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 3


•	Built out the data and reporting infrastructure from the ground using MS Power BI, SQL and MS Excel to provide semimonthly and monthly insights into the products, marketing funnels, and business KPIs
•	Designed and constructed real-time operational reporting in Google Data Studio using Python and API saving around 90 hours of monthly labor of the analytics department
•	Automated sales report generation using Python, Google Sheets and SQL which resulted in decreasing daily workload of the sales team by 25%
•	Built logistic regression model to help SEO team decide which branches to function during weekends reducing high load on Mondays by 35% 
•	Built report forecasting future sales using parameters, trend lines and reference lines that were reported
•	Prepared ad hoc reports on specific issues to help address decision making of different teams

•	Collected, cleaned and prepped data using Python Scrapy to help data scientists build complex prediction models saving 22 hours of monthly labor
•	Designed scripts for automated data cleaning
•	Developed a model predicting house prices depending on the input parameters
•	Built an automated system to predict whether a given review was likely to be positive or negative
•	Tested and validated models for accuracy of predictions
•	Created data visualizations and dashboards for various stakeholders