Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 5

In addition to the the achievements stated in Work Experience section, I: 
- Was one of 12 top-performing students from Kyivstar Big Data Schools (acceptance rate 2%) who was hired to Kyivstar;
- Started to analyse time series at first place of work and tried to implement ideas to production;
- Participated in Kaggle competitions;
- Graduated at Mechanics and Mathematics department, Taras Shevchenko National University of Kyiv;
- Finished Coursera and Yandex ML courses (Math and Python for data analysis; Learning on marked data; Search of patterns in data; Сonstruct conclusions on the data).
Developed recommendation system (RS) for media portal (compared different algs with A/B, bandito testing). Tools used: 
- popular libraries lightFM, ALS;
- user2user, item2item.

Used time series analysis to: 
-  predict future business metrics. (SARIMA, XGBoost, Neural Networks, Prophet); 
- predict future workload for warehouse.

Used heat maps (on R) based on telecom data with the following data filters:
- daily migration in Kyiv;
- work migration in Kyiv region.

Built predictive models to:
- conduct SMS campaigns, targeted on specific users; 
- predict article's position in Google search results;
- predict growing and declining businesses.

Other analytical tasks:
- identified key features for top articles in Google search;
- detected anomalies in articles.

Computer Vision:
- identified users' favourite colours based on their clothes on photos (used YOLO3 neural network).

NLP:
- used TF-IDF, Bert to find similar articles.

Research:
- compared different text-to-speech services (AWS, Azure, IBM, Yandex, Google), to make "podcast like" news. 
- compared photo object detection services (Google, AWS, Azure).

Project Management: 
- prepared Data Science roadmap, with all possible and impossible DS improvements for our product to further discuss with management what we can do next;
- initiated retrospective session to improve team work.
- Want to make impact on business decisions;
- Would be an advantage if project was focused on social issues or environmental problems;
- Opportunity to improve public speaking skills and participate in conferences/other public events;
- Opportunity to work remotely.