Roman

Data Scientist

https://www.opentalent.in/roman-7

Derunets Roman

Member since June 26, 2026

Key Strengths

Demonstrated strong interest and practical experience in Machine Learning and Deep Learning through numerous personal projects.
Experience with RAG (Retrieval Augmented Generation) systems, including a first-place solution in a SemEval track, which is highly relevant for advanced Data Scientist roles.
Proficiency in Python and Jupyter Notebook, essential tools for data science.
Participation in hackathons (It Purple Hack) indicates a proactive and problem-solving attitude.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong focus on personal initiatives and competitive events, indicating self-motivation and a drive for technical excellence. The projects are highly aligned with a Data Scientist role, particularly in NLP and ML. However, the lack of team-based or professional experience makes it difficult to fully assess collaboration and broader cultural fit.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

SLM-RAG-EVAL

June 19, 2026 – Present

SLM-RAG-EVAL — GitHub repository

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ragu_mtrag_semeval

May 4, 2026 – Present

First place in Task B 2026 solution in SemEval MTRAG track by RAGU team.

View Project

cbr_rag

March 9, 2024 – March 14, 2024

It Purple Hack hackathon. Q&A RAG LLM for cbr.ru website

View Project

ML_NSU

February 13, 2024 – March 6, 2024

ML_NSU — GitHub repository

View Project

MachineLearning

December 30, 2023 – December 30, 2023

MachineLearning — GitHub repository

View Project

ML_1

December 30, 2023 – December 30, 2023

ML_1 — GitHub repository

View Project

drone_dataset

March 11, 2023 – April 14, 2023

drone_dataset — GitHub repository

View Project

altair_python_ML

July 6, 2022 – August 24, 2022

altair_python_ML — GitHub repository

View Project

python_lessons

July 4, 2022 – July 13, 2022

python_lessons — GitHub repository

View Project

Deep-Learning-introduction

June 30, 2022 – March 27, 2023

nsu course of Deep Learning (4th semester) classification, detection, segmentation, NN on Numpy

View Project

Key Strengths

Demonstrated strong interest and practical experience in Machine Learning and Deep Learning through numerous personal projects.
Experience with RAG (Retrieval Augmented Generation) systems, including a first-place solution in a SemEval track, which is highly relevant for advanced Data Scientist roles.
Proficiency in Python and Jupyter Notebook, essential tools for data science.
Participation in hackathons (It Purple Hack) indicates a proactive and problem-solving attitude.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Roman

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit