Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 10

In fintec company developed and implemented scorecard – default prediction model.  As a result, risk losses decreased by 19% and application approval rate increased by 17%.
For bank ( in top 10 largest bank in Ukraine) successfully designed, implemented, and validated predictive models, leading to credit loss reductions ranging from 18% to 40% across a variety of products and models.
Professional Lead Data analyst with Data Scientist role with 10+ experience in financial sector (bank, fintech).
I have experience with leading projects involving:
-  building, implementing, validating classification and regression models (credit scorings)
-  gathering, cleaning, analyzing data to identify opportunities for improving business efficiency
-  ETL jobs automation 
-  reporting and forecasts 
     I am adept at working with large datasets and have experience in data mining, data analysis, working with various programming languages such as R, SAS (Statistical Analysis System), SQL, Python, creating interactive dashboards using data visualization tools such as Power BI.
Looking to leverage my data analysis and modeling skills in developing models that will drive business grows.