Semyonov Constantine

Data Scientist

https://talent.gravityer.com/semyonov-constantine

Junior ML-engineer and System Analyst

Member since June 27, 2026

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python and Jupyter Notebook for data analysis and machine learning tasks.
Projects cover various Data Science domains including MLOps, NLP, Recommendation Systems, and Predictive Modeling.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, indicating a strong drive for self-learning and exploration within Data Science. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The project descriptions are in multiple languages, which might indicate a diverse background but also a potential communication barrier if English is the primary language of the target role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed test or data.

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Assessing your cultural and operational fit

Projects

Student-Performance-MLOps

January 19, 2026 – Present

Код к работе на тему: «Разработка и исследование регрессионных моделей прогнозирования успеваемости студентов»

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ecologistic_network

July 22, 2025 – July 26, 2025

Международная логистическая компания объявила о стратегии по снижению своего углеродного следа на 50% к 2030 году. Для достижения этой цели компании необходимо оптимизировать свою логистическую сеть, маршруты доставки и используемый транспорт.

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nlp_amazon_reviews

July 16, 2025 – July 21, 2025

The repo is dedicated to research of Amazon Reviews data based on Amazon Reviews dataset. The keys points are: build module to pre-process text, analyze sentiment of the reviews to understand general opinion about the product, apply topic modeling approaches to get insights from product features, make time series analysis to check changes in trends

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streaming_service_recsys

July 9, 2025 – July 12, 2025

Проект посвящен разработке рекомендательной системы для стримингового сервиса

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backpack_price_prediction

April 21, 2025 – June 17, 2025

Проект по машинному обучению (учебный проект) на основе соревнования Kaggle Playground Series - Season 5, Episode 2, цель которого — предсказать цену рюкзаков на основе их характеристик.

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LahNumbersScala

April 16, 2025 – April 20, 2025

Project to compute Lah numbers in Scala with basic tests (study project)

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Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python and Jupyter Notebook for data analysis and machine learning tasks.
Projects cover various Data Science domains including MLOps, NLP, Recommendation Systems, and Predictive Modeling.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed test or data.

Semyonov Constantine

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit