One of the largest chains of electronics and home appliance stores with over 855 stores and pickup points in 372 Russian cities. - Developed a tool that helps manage surplus in the company’s shops, which led to halving the calculation time for shops’ overstock recommendations by optimizing an algorithm and adding new features.- Designed and developed a new set of features for a recommendation algorithm for the supply chain department from scratch that improved the accuracy of demand calculation for 10% of SKU (stock keeping units) by communicating with business units and jointly determining the best method for calculating them.- Freed up over 10% of supply chains specialists' time and reduced company’s transportation costs by developing a demand forecasting model in the B2B segment based on time series data of the sales history which made it possible to integrate it into the calculation of recommendations for the distribution of goods between the hubs of the company.- Expanded the range of products in the company's priority stores that increased the turnover of goods in stores by redeveloping a calculation class that recommends values for SKU replenishment for the company's stores and hubs.- Developed a search function for the similar products in terms of characteristics for the recommender system project, which helped to implement a block of personal recommendations for the company website users.

Optimized the goods accounting system for 30% of SKU that resulted in improved quality and speed of work, by implementing new accounting standards for items.Led a team of 4 employees, making it possible to establish uninterrupted delivery of the company's products all around Russia by applying detailed planning.