Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 1

2021.11 – hack4retail – Organized Fozzy Group and McKinsey & Company
Tasks: 1. prediction of retail network sales (online part); 2. Distribution of goods on shelves for the new network of dark markets.
Our team reached the final, and as a result, took 19th place.

2020.06 Capstone Project of Data Science Specialization (wrote an article on Medium) 
- The aim of this project is to help a prospective investor to find the best location for the opening of a restaurant
Stack: Web scraping (BeautifulSoup), Geospatial data (GeoPy, Folium, API Foursquare), ML (Scikit-Learn, K-Means clustering)

Courses and certificates:
DS, ML: IBM Data Science Specialization by IBM on Coursera 
Python, Computer science: Computational Thinking using Python by MIT on EdX
Math: Applied Mathematics and Statistics for Data Science by Robot Dreams
Deep Learning: Neural Networks and Deep Learning, Improving Deep Neural Networks, Convolutional Neural Networks by DeepLearning.AI on Coursera
I am keen on DS/ML/DL and looking for opportunities to work as a Data Scientist. At the same time, I have huge experience in managing companies in B2B automotive and consumer recreational goods segments.

2020.09 – 2021.09 The largest independent service of online payments and money transfers in Ukraine
- Developing an algorithm to obtain a unique ID for B2C customers
- clustering customers (based on RFM analysis),
- extracting dependencies/insights from the time series
Stack: NetworkX, Scikit-Learn, K-Means clustering

2000.05 – present. Huge experience in managing companies in domain areas: distribution of outboard/inboard engines, boats, yachts, and commercial vehicles spare parts.
I am currently looking for a job as a Junior Data Scientist/ML Engineer. First of all, I am not interested in money, but in gaining real "industrial" experience and meeting interesting people from the field of artificial intelligence.