Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 3

Created and build helpful models for the bank such as :
- Churn prediction
- Fine tunning of classification models with PyTorch
- Segmentaion / Detection tasks
- Fico model
- Speech to text
- Computer vision tasks
- Client overdue prediction
- Soft Collection model
- Recommendation system of bank products
- Cross-sell/ Upsell models
- Photo Moderation models
- Detection and Segmentation models
2019-2021 ForteBank  , lead bank in Kazakhstan. Following problems been solved :
- Fixing datalake storage 
- Implementing Churn, Loan prediction, Uplift modeling, Cross Sell modeling
- Developing Scoring models
- Optimizing ATM systems and controlling cash
- Recommendation system of Bank Marketplace
- Improving Client conversion in bank products

2021- present  Working for a consulting company as Data Scientist and Ml Engineer. Have experience in working with different Computer vision  and classical Machine Learning tasks:
- Segmentation and Detection problems with Pytorch
- Tuning image classification problems and Sequentially implement them in service
- Working with NLP and NER problems 
- Working with : Aws Sagemaker , Azure ML 
- Working with remote GPU machines and servers
I would like to for an interesting projects and ready to show all my best. Additionally I have  experience in working R&D projects , that's why Research is also interesting for me.