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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
hse_algo_python
November 15, 2025 – November 24, 2025
Домашние задания по курсу "Алгоритмы на Python" ФКН НИУ ВШЭ
View Projectmts-ml-cup
March 31, 2023 – April 1, 2023
Solution of team baseline_business at MTS Machine Learning Cup 2023 competition.
View Projectdistillation-in-dg
February 5, 2023 – October 1, 2023
Implementation of "Weight Averaging Improves Knowledge Distillation under Domain Shift" (ICCV 2023 OOD-CV Workshop)
View Projectml-snippets-classification
February 2, 2023 – October 27, 2023
The source code of "Machine learning code snippets semantic classification" (Valeriy Berezovskiy, Anastasia Gorodilova, Ekaterina Trofimova, Andrey Ustyuzhanin) paper.
View ProjectPROJECT-Short_Text_Generator
January 31, 2022 – June 10, 2022
PROJECT-Short_Text_Generator — GitHub repository
View Projectbasketball-bot
July 18, 2021 – July 18, 2021
Telegram Bot, позволяющий пользователю получить информацию о ближайших к нему баскетбольных площадках. Учебный проект для прохождения практики в НИУ ВШЭ ФКН ПМИ на курсе "Анализ и обработка веб-данных на языке Python"."
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong drive for self-learning and exploration in technical domains. The diversity of projects (ML, algorithms, web data, text generation) suggests adaptability and a broad technical curiosity. However, the lack of professional experience or team-based project descriptions makes it difficult to fully assess cultural fit within a corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists technical projects without details on collaboration, problem-solving approaches, or communication in a team setting.