Position: Data scientist
Category: Data Science
English level: fluent
Years of experience: 0

- Successfully managed multi-location projects in multicultural environment.
- Successful implementation of the corporate reporting packages including: defining the management accounting metrics, designing the corporate reporting package in excel, helping in developing ETL procedures
- Took part in four software development projects from the client side
- Identified dysfunctional KPIs 
- Identified anomalies and fraud-risky activities while analyzing extracts from Oracle.
- Master degree in Finance (However hefty part of our curriculum was devoted to Math Analysis, Linear Algebra, Probabilities/MathStat, Statistics and Econometrics.)

- Python (np/pd/plt/skl), SQL, AzureML,Excel 

- Understanding of CRISP-DM.

- Considerable experience in auditing and fin.controlling: fin.modelling, statistical sampling tests, data analysis, business process analysis.

- Excellent communication skills: interviews, negotiations, presentations, documentation, reporting.
Looking for practical tasks to get focus for further development in the field of data science.