Position: Data scientist
Category: Data Science
English level: fluent
Years of experience: 5

- AWS Certified Cloud Practitioner
- DataIku ML Practitioner Certificate
- Experience with production and branching strategies
- Created a core part for fraud investigations scripts in insurance 
- Refactored code with 20 times faster data generation
- Managed 4 data scientists
- Improved  accuracy by 8% on UK food shipment prediction compared to the company base model 
- 96% marks “Excellent” in University.
- Diploma in Actuarial Technics in UK university  
- 20+ courses on DataCamp
5 years of Python experience:

Success story with Fortune-500 companies in UK, USA, Poland
Domains: Insurance, FMCG, HR, Stock market, Fashion
ML part: Regression and classification tasks, gradient boosting models (xgboost, lgbm, catboost), neural models (TensorFlow, Keras),statistical models, models tunining (sklearn, optuna), models explainability (shap)  
Production: testing with pytest, logging, change requests
DevOps: Jenkins, git/bitbucket 
Data storage: Hadoop, HBase, MySQL, Snowflake
Data Visualization: plotly, seaborn
NLP analysis (Spacy, NLTK).
Cloud experience: AWS certified cloud practitioner, some experience with Azure and IBM Cloud 


10 years of actuarial and risk-management experience in insurance: 
- Calculation of basic price on Ukrainian OMTPL insurance market for 5mln cars yearly, >200 mln USD
- Development of the model for risk-assessment for insurance companies (30+ clients)
- Negotiations with shareholders, Big-4 auditors, presenting results
Strong and friendly team
Ability to growth in profession
Prediction in various areas 
Time series forecasting