Position: Data Scientist, Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 5

Education:
- National Technical University of Ukraine 'Kyiv Polytechnic Institute'​  FICT Computer Engineer - Bachelor's
- National Technical University of Ukraine 'Kyiv Polytechnic Institute'​ PMA Data Scientist - Master's

Hackathons:
- Churn prediction, define if the employee will quit the company (SoftServ) 3rd place.
- System for recommending movies on streaming service (sweet tv) 3rd place.
- Book rating prediction (INT20H) 2nd place.
- Forecasting system for retail (Hack4Retail) 3rd place.

Participant Kyivstar BigDataSchool 2018
I am a Senior Data Scientist with 5 years of experience. I like to solve data science problems in the area of machine learning and analytics. Furthermore, I like to tackle all aspects of a problem, from initial data collection and data conditioning to drawing conclusions. But my true passion lies in creating data science tools and simplifying the business and ML processes.

I love teaching and enjoy the challenge of communicating complex concepts clearly and concisely.

Experience:
- MLOps, development, deployment, testing, experimenting, leading the team, planning
- Designed and created algorithms, built models, prototyped solutions.
- Worked in a team with the Software Engineers, Data Analysts, Data Scientists, and Data Engineers of the Data team, as well as our business contacts (Product teams, Sales, Customer Engagement, Marketing, etc.).
- Proposed innovative use cases (features in the product / algorithms to scale our business);
- Manage data scientists.
- Train former data analysts to become data scientists. 
- Build the ML Solutions (AWS SageMaker, AWS Lambda, AWS Batch, API Gateway, MLFlow, Azure Databricks), Datastore (S3, Snowflake) stack.

Projects:
- Predict likelihood of clicking on the AD by the user 
- Content Recommendation Engine – Recommend posts to users by their views history
- Missing inventory on the shop shelf classification 
- Post content classification (auto-moderation system) 
- Churn prediction
- User segmentation to similar groups by their behaviour features 
- Keyword extraction from post content
- NER – Entity extraction from post content

Past projects:

Regression:
- Forecasting the demand for goods. 

Clustering:
- Motion detection by sensor data.

Recommendation systems:
- Recommended Cold Start Movie System.
- System for recommending the next action (purchase/view) for the user

Computer Vision:
- Counting the number of people in the cinema hall. 
- Recognize identification numbers on the railway carriage.
- Fashion image segmentation.
- Pet photo analysis.
- QR code detection