Position: Senior Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 5

Predictive model for subscription (after registration) to suggest trial. Conversion rate to purchase grew from 5% to 8%, 87% of users predicted to buy made subscription

Dashboard for UAMs to highlight campaigns predicted to be not successful. At least 30% less unprofitable ads campaigns

RFM-segmentation and offer system. Conversion rates grew on 2-15% depending on the segment, ARPPU grew on 7%. And gamma-gamma LTV-predicting model, based on RFM segments, accuracy 88%, recall 85-95% depending on LTV-cluster
I use data to grow business.
Accomplished Data Analyst with a passion for delivering valuable data through analytical functions and data retrieval methods. My experience helps companies advance by helping them to develop strategic plans based on data, predictive modeling and findings.
Bringing forth a proven track record of analyzing complex data sets and serving as a strong advisor.

Experience:
• Lead Data Analyst, Core5 (GameDev)
• Lead Data Analyst, Playrix (GameDev)
• Data Analyst, Avanta (Dating Mobile App)
• Data Analyst, Velcom (TeleCom)
Stack: Python, R, SQL, PySpark, ML, Tableau/DataStudio/Datalens, Amplitude/SWRVE/Firebase/Adjust

Event tracking design
Ad-hoc and research tasks
ML models for churn, LTV, purchase, etc. predicting
Users segmentation
AB-testing (general AB-tests, bootstrap, CUPED)
Dashboards
I’d like to help project become more successful, using data, so I don’t want to make research to implement data-based decisions.

I’m waiting for interesting research tasks and also ML-tasks, and understanding that Data Analyst is not the interface to database :)

It’s more preferable for me to work at product company (not outsource)