Position: Data Scientist/Product analyst
Category: Data Analyst
English level: upper
Years of experience: 4

Optimized expenses for communication by tens of millions per month. 
Built uplift model, which in test, improves conversion by ~ 35%
Optimized the cost of communication with customers by 18% without losses in the necessary indicators
Increase in sales based on more conversional “leads” identification.
Built and implemented classification models that work online
Based on distributions of different parameters built a rule-based model for quick online implementation
Evaluating and monitoring key metrics, understanding root causes of changes in metrics
Behavioural analytics with explainable ML and causal inference.
Experience in conducting A/B tests, experience in client analytics.
Planning on KPI earnings for all bank products of legal entities throughout all channels.
Started to build the model of churn and pre-churn of legal clients.
Clustering clients and formed client portraits.