I hold a degree in Radiophysics from Lomonosov Moscow State University. My background includes telecommunications, software engineering, and applied data analysis, combining hands-on technical work with experience in operations, support, and engineering management.
Data science and machine learning remain areas of strong personal and professional interest for me, especially in applied and exploratory contexts. Alongside this, I work on system-level and networking projects, including traffic control and automation for embedded and Linux-based systems.
Most of the work presented in this profile consists of independent and pet projects. They are driven by technical curiosity, practical problem-solving, and a desire to better understand systems from both data-driven and low-level engineering perspectives, rather than by direct production needs of large organizations.
MAC-Shaper
A lightweight traffic shaping solution for OpenWrt that provides per-MAC upload and download bandwidth control using Linux tc and ifb.
Includes a backend daemon, LuCI web interface, and prebuilt packages for embedded devices.
Fully documented, actively maintained, and production-ready.
| Project | Job Type | Status |
|---|---|---|
| NPD prediction | Predicting the next purchase to better understand customer behavior and optimize business decisions. | Complete |
| NP Multilabel prediction | Predicting a user's next order as a set of product categories using a fully connected neural network. | Complete |
| Project | Study Type | Status |
|---|---|---|
| Basic Python | Data validation and user behavior comparison using real Yandex.Music data. | Complete |
| Data preprocessing | Studying the impact of family status and children on loan repayment. | Complete |
| Exploratory Data Analysis | Real estate market analysis based on Yandex.Real Estate data. | Complete |
| Statistical Data Analysis | Customer behavior analysis for tariff optimization. | Complete |
| Composite Project - 1 | Identifying patterns that determine game success. | Complete |
| Introduction to Machine Learning | Building a classification model for tariff selection. | Complete |
| Supervised Learning | Predicting bank customer churn. | Complete |
| Machine Learning in Business | Profit and risk analysis for oil extraction regions. | Complete |
| Composite Project - 2 | Predicting gold recovery rates in industrial processes. | Complete |
| Linear Algebra | Data transformation for personal information protection. | Complete |
| Numerical Analysis | Car price prediction based on technical characteristics. | Complete |
| Time Series | Forecasting taxi demand at airports. | Complete |
| Machine Learning for Text | Toxic comment detection for moderation. | Complete |
| Computer Vision | Age prediction from facial images. | Complete |
| Diploma Project | Predicting customer churn for a telecom operator. | Complete |
| Project | Job Type | Status |
|---|---|---|
| DL & NLP – GeoNames | Geographical name normalization using GeoNames. | Complete |
| DL & CV – Music Genre Prediction | Music genre classification based on album cover images. | Complete |