Igor Matveev Email and Phone Number

The company promotes banking, MFO and MCC products. Click2Money's clients are credit organizations such as Sovcombank, Sberbank and others.Responsibilities:— Generated and tested hypotheses for the MFO product;— Conducted statistical analysis of the client database;— Developed and trained algorithms for recommendation systems to create relevant MFO services for C2M clients;Achievements:— Developed a recommendation algorithm and an analytics system for MFO clients in cooperation with a telecom company.

The company provides services in the development and design of advanced tools,development technologies, debugging of complex technical systems, algorithms and engineeringdata analysis.Responsibilities:— Conducted EDA (exploratory data analysis);— Build and evaluate hypotheses;— Researched and applied neural network models;— Built Pipeline models;— Trained and tested machine learning algorithms;— Speaker at conferences;— Participated in the creation of product design.Achievements:— Developed a webinar on computer vision and a website concept in Figma;— Developed an algorithm for determining data quality for a price automation systemproducts in the marketplace;— Developed a fire detecting system for warningemergency situations in factory based on SOTA transformer technology (Swin ViT);— Optimized the control system unit for the aircraft aileron hydraulic drive byapplication of the dynamic regressor algorithm (DREM). The structure has been simplified and modeling time was reduced by 5 times (There is an article on Habr, Medium);— Developed an Android application for classifying cameras on the windshield of a car witha simplified model of the ResNet-18 deep network for image processing on an Android smartphone.

School of online professions Skillfactory.Responsibilities:— Consulted students in Slack;— Checked student homework.Achievements:— Acted as a mentor and advised on homework, coursework andtheses.

Responsibilities:— Researched state-of-the-art technologies based on neural networks in the field of processingmedical images;— Participated in scientific conferences;— Collected and processed MRI images of hearts;— Build and evaluate hypotheses;— Tested and upgraded deep learning algorithms.Achievements:— Developed a modification of the CGAN network to improve the quality of image reconstructionhearts. Article: https://www.mdpi.com/2075-4418/13/6/1120.

The company performs design, engineering works, engineering analysis andoptimization in the automotive industry.Responsibilities:— Conducted R&D of mathematical models of power plants in Python;— Developed machine learning modules in the Pradis program.Achievements:— Developed a comprehensive module for solving problems of classification, forecasting,regression analysis based on neural networks in the Pradis calculation program;— Developed a mathematical model of an air-cooled heat exchanger for analyzing factory processes