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

- Developed user scoring model for irrelevant \ motivated traffic detection on low amounts of user acquisition
- Derived heuristic rules for 'whales' churn prediction
- Automatized target KPIs downturns analysis
- Actually, helped that guy who asked for help with excel formula
Five years as data analyst in total. 

Last three years I’ve been working in IT product analytics, where I’ve closed countless number of analytical tasks in user acquisition, payments, ad monetization and CRM, mostly answering the question: “how can we increase revenue?”.

Last year I’ve been focused primarily on user behavior on the product, aiming to reveal casual relationships between sequences of user actions on particular lifetime and churn / revenue.
Dos:
- product company
- bureaucracy free environment
- peers focused on solving product problem rather than applying specific ML tool

Don'ts:
- "excel" in required skills