Position: Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 2

- Created a full cycle of data analysis processes from scratch: parsing/extraction, processing, visualization, and creation of insights reports.

- Created automated processes from scratch. Automated key monthly/weekly reports and routine tasks using Python.
- Creating automated reports based on information retrieved from databases, and open data (XML, CSV, JSON files, API, and parsed sites).
- Creating automated reports in excel and power point.
- Creating dashboards in BI system.
- Calculation of client's probability of default using regressions and conducting hypothesis testing.
- Working with databases using SQL.
- Creation of calculation scripts on my department tasks using data analysis python libraries (pandas, numpy, sklearn, statsmodels etc.).
- loan portfolio & loans collateral analysis.
- expected credit losses calculation.
An environment that drives personal and professional growth, and challenging tasks in product analytics. Data Science assignments are also interesting although my profile is closer to the Data Analysis domain.