I hold a degree in Radiophysics from Lomonosov Moscow State University, and I have authored a paper on the dynamics of superradiation in two-component inhomogeneously broadened media.
My work experience includes roles as a software engineer at a medical institution, an M&C specialist at a telecommunications operator company, and a technical support engineer at a telecom service company. I advanced to the positions of senior engineer and head of the customer support department in the latter role.
In addition, I have served as a marketing manager at a telecommunications equipment manufacturer and as an operations manager/director specializing in customer services for telecom companies. I also worked as a sales marketing manager at an agency company and advised the director general of a multi-purpose service and consulting company.
I collaborated with an American co-author to complete the first edition of a book that highlights the beneficial properties of vitamins that are not commonly known to the general public. The book focuses on early prevention of various diseases and other interesting topics.
And here I am, with a diverse background in both technical and managerial positions in the fields of telecommunications, software engineering, and marketing.
Yandex Data Science Practicum
| Project | Study Type | Status |
|---|---|---|
| Yandex Practicum - Basic Python | On real Yandex.Music data, using the Pandas library and its capabilities, it is possible to validate the data and compare the behavior and preferences of users in two capitals — Moscow and St. Petersburg. | Complete |
| Yandex Practicum - Data preprocessing | Based on the statistics on the financial solvency of clients, investigate whether the marital status and the number of children of the client affect the timely repayment of the loan.The repository is open for viewing. | Complete |
| Yandex Practicum - Exploratory Data Analysis | Using data from the Yandex.Real Estate service, determine the market value of real estate properties and typical parameters of apartments. | Complete |
| Yandex Practicum - Statistical Data Analysis | Analyze customer behavior based on data from the mobile operator's clients and identify the optimal tariff plan. The repository is open for viewing. | Complete |
| Yandex Practicum - Composite Project - 1 | The task is to identify patterns that determine the success of a game. The repository is open for viewing. | Complete |
| Yandex Practicum - Introduction to Machine Learning | The task at hand is to build a classification model that can select the appropriate tariff based on data about customer behavior for different tariffs. The repository is open for viewing. | Complete |
| Yandex Practicum - Supervised Learning | We need to forecast whether a customer will leave the bank in the near future or not. The repository is open for viewing. | Complete |
| Yandex Practicum - Machine Learning in Business | This project involves building a model to identify the region with the highest profit potential for oil extraction. By analyzing the potential profit and risks using the Bootstrap technique, we aim to optimize decision-making. The repository is open for viewing. | Complete |
| Yandex Practicum - Composite Project - 2 | Prepare a prototype of a machine learning model for 'Zyfra'. The company develops solutions for the efficient operation of industrial enterprises. The model should predict the gold recovery coefficient from gold-bearing ore. The repository is open for viewing. | Complete |
| Yandex Practicum - Linear Algebra | Develop a method to transform the data in a way that makes it difficult to recover personal information from it. Justify the correctness of its operation. The repository is open for viewing. | Complete |
| Yandex Practicum - Numerical Analysis | The app's main goal is to determine the market value of users' cars using a model based on technical specifications, configurations, and prices of other vehicles. The customer emphasizes the importance of accurate predictions, efficient model training, and fast prediction times. The repository is open for viewing. | Complete |
| Yandex Practicum - Time Series | The company "NeatTaxi" has collected historical data on taxi orders at airports. To attract more drivers during peak hours, it's necessary to forecast the number of taxi orders for the next hour. Build a model for such prediction. The repository is open for viewing. | Complete |
| Yandex Practicum - Machine Learning for Text | The online store "WikiShop" is launching a new service. Now users can edit and enhance product descriptions, similar to wiki communities. In other words, customers suggest their edits and comment on others' changes. The store requires a tool that can identify toxic comments and send them for moderation. The repository is open for viewing. | Complete |
| Yandex Practicum - Computer Vision | The network supermarket "Bread and Salt" is implementing a computer vision system to process photos of customers. Build a model that will approximate a person's age based on a photo. You have a dataset of photos of people along with their age information at your disposal. The repository is open for viewing. | Complete |
| Yandex Practicum - Diploma Project | TeleDom, a telecommunications company, aims to combat customer churn. To achieve this, its staff will start offering promo codes and special conditions to those planning to terminate their communication services. To proactively identify such users, TeleDom needs a model that predicts whether a subscriber will terminate their contract. The operator's team has gathered personal data about some customers, along with information about their tariffs and services. Your task is to train a model on this data to predict customer churn. The repository is open for viewing. | Complete |
Data Science. Deep Learning NLP and CV
| Project | Job Type | Status |
|---|---|---|
| DL and NLP - GeoNames | The goal of this project is to develop a solution for mapping geographical names to the standardized names from The GeoNames geographical database for internal use by the Yandex Practicum Career Center. The repository is open for viewing. | Complete |
| DL and CV - Predicting Music Genre | The project aims to develop a model that will classify the genre of a music album based on its cover image. The repository is open for viewing. | Complete |
Classiсal ML
| Project | Job Type | Status |
|---|---|---|
| NPD prediction | Predicting the next purchase holds strategic importance for businesses as it allows optimizing marketing efforts, improving customer service, and increasing overall profitability. The goal of this project is not only to develop an accurate prediction model but also to understand the key factors influencing customer behavior when making purchases. The repository is open for viewing. | Complete |
| NP Mutilabel prediction | The task of predicting the next order of a user is proposed (regardless of the specific moment in time when this order will occur). A user's order consists of a list of unique product categories, regardless of how many products of each category they have taken. This project utilizes a fully connected feed-forward neural network. The repository is open for viewing. | Complete |