Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 1.5

Successfully passed the Microsoft DP-100 exam: Designing and Implementing a Data Science Solution on Azure.
Customer analysis and demand forecasting projects for a big retail company. Responsibilities:

• Implementing transforming pipelines from the raw data in the database to the machine learning models.
• RFM (Recency, Frequency, Monetary) customer analysis with the rolling time window.
• Churn prediction, anomaly detection, customer lifetime value (CLTV) prediction ML models.
• Customer's product basket and association rules analysis.
• Analysis and search for the analogues of product and store newbies (items with insufficient sales history).
• Developing ML model for demand forecasting


Risk management project for the foreign bank:

I have carried out quantitative analysis to determine the value of financial agreements such as swaps, forwards, futures, options. It helped the client to decide whether to make the corresponding financial agreement or not.

Mini projects:

• Estimation of the car price according to its sale advertisement (web scraping, REST API, machine learning model)
• Computer vision: detecting the information on the product's price tag (price and barcode)
Actively growing companies and projects
Team brainstorming for the challenges solving 
Computer vision and/or voice recognition tasks would be a plus