COVID-19 epidemiological model and sales impact analysis

A successful take on coronavirus spread modeling and sales impact analysis for a global sports retailer. We had brought theoretical results from the paper to a working state in a very short period of time. The resulting work impacted the decisions of top managers during the initial coronavirus outbreak. Participation: • Created and implemented the COVID-19 response model based on SIR epidemiological model via regression analysis and a system of differential equations. • Implemented country-wise sales impact models and data pipelines for retail and digital stores during the initial lockdown period in Europe

Retail customer detection and tracking system based on CCTV

Proof of concept of a detection and tracking system done for a worldwide beauty retailer. The system is based on deep neural networks and consists of a customer/staff recognition system, tracking, and action classification subsystems. The resulted system is used for advanced analytics using CCTV in stores. Participation: • Implemented and fine-tuned online tracker for multiple-object tracking problem • Implemented scoring and evaluation pipelines for the system • Augmented pre-trained models for people re-identification process of tracking

Customer segmentation for beauty retailer

A data discovery project for a beauty retailer. The project was a collaboration work of data science and user experience teams. We have applied machine learning algorithms to big data. The results were a documented data science environment on Microsoft Azure full of data reports with valuable insights. Participation: • Created data loading and preparation pipelines for further analysis using PySpark. • Made a number of analytical lab reports based on transaction data. • Clustered customers using machine learning algorithms into segments using PySpark ML module. • Analyzed correlations between geographical data and customer behavior.

Digital fashion mobile AR app

Mobile app powered by AR and deep learning / digital fitting room. A user can try new clothes or styles using only a smartphone. Participation: • Researched papers on related tasks solved via neural networks • Implemented model and pipeline for human pose estimation task • Realised cross-platform postprocessing library in C++, implemented Python binding for the library