Artyom

Data Scientist

https://talent.gravityer.com/artyom-1

Backend Developer

EathMember since June 29, 2026

Key Strengths

Demonstrated interest in Data Science through multiple personal projects (Lab1-Pydantic, Lab2-Numpy, Lab3-Matplotlib, Lab4-TensorFlow, Lab5-Classification).
Experience with core Data Science libraries and tools like NumPy, Pandas, Matplotlib, and TensorFlow.
Exposure to machine learning concepts, including convolutional neural networks for image classification.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a proactive learning approach and self-driven exploration of data science topics. The diversity of projects, from basic data manipulation to neural networks, suggests an eagerness to learn and adapt, which could be a positive cultural fit for a growth-oriented environment. However, all projects are personal and academic, lacking real-world team collaboration or production experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

VideoX

September 27, 2024 – September 29, 2024

VideoX — GitHub repository

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Lab5-Classification

April 27, 2024 – April 28, 2024

Разработка сверточной нейронной сети для классификации изображений

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Lab4-TensorFlow

April 15, 2024 – April 19, 2024

Лабораторная работа No4: Обучению первой модели на TensorFlow для распознавания рукописных цифр на датасете MNIST

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Lab3-Matplotlib

March 19, 2024 – March 22, 2024

Лабораторная 3: "Анализ структуры и основных характеристик датасета пассажиров Титаника"

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Lab2-Numpy

March 7, 2024 – March 22, 2024

Освоение Многомерных Массивов и Математических Операций с NumPy

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Lab1-Pydantic

February 18, 2024 – February 29, 2024

Лабораторная работа: Основы обработки данных с помощью Pandas

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fastapi-wikipedia-api-Lab2

November 29, 2023 – November 29, 2023

FastAPI Example with Wikipedia API

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loyal-pelmen

November 6, 2023 – August 29, 2025

loyal-pelmen — GitHub repository

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Site-Card-Lab3

October 17, 2023 – November 15, 2023

Site-Card-Lab3 — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects (Lab1-Pydantic, Lab2-Numpy, Lab3-Matplotlib, Lab4-TensorFlow, Lab5-Classification).
Experience with core Data Science libraries and tools like NumPy, Pandas, Matplotlib, and TensorFlow.
Exposure to machine learning concepts, including convolutional neural networks for image classification.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Artyom

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit