Position: BI analyst/Data analyst/Product analyst
Category: Data Science
English level: upper
Years of experience: 6

Development and support of predictive models for CRM campaigns: churn, response and propensity models
Implementation of machine learning in BI and CRM
Classification models development : customer segmentation/clustering/ RFM analysis
Conduct statistical studies based on customer data: Market basket analysis/ Next best offer/ Association rules/ ARIMA and etc
Dashboards automation and kpi tracking
Reporting and presentation development
Development, validation and support scoring models: Application/Behaviour/Collection
Development of risk based pricing approach for credit decision-making system
Building analytical team from scratch
data mining - 6 years
predictive modeling - 6 years
classification and cluster models - 4 years
statistical analysis - 5 year
Customer analytics - 5 years
PL\SQL - 5 years
MySQL - 1 year
PostgreSQL -3 years
Tableau - 3 years
SAS Guide - 3  year
SAS Enterprise Miner - 2.5  
SPSS Statistics - 1.5  
Microsoft Excel/VBA - 5 
R - 3 years
Python (pandas/numpy) - 1 year
Complicated and interesting projects. Professional growth.