Mattia Umberto Nee

Data Scientist

https://talent.gravityer.com/mattia-umberto-nee

Mathematics student

Member since June 27, 2026

Key Strengths

Demonstrated interest in Large Language Models (LLMs) and related concepts through personal projects like 'LLM-practice', 'rag_evaluator', 'Pleias_Rag_Interface', 'tokenization_eval', and 'tok_library'.
Practical experience with Python, a core language for Data Science and LLM development.
Familiarity with Jupyter Notebooks for data exploration and model development.
Exposure to RAG (Retrieval Augmented Generation) systems, indicating an understanding of modern NLP architectures.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong self-driven learning approach, particularly in emerging AI/ML fields like LLMs. The diversity of projects, while mostly focused on Python and LLMs, also includes some web development (PHP, CSS, HTML, JavaScript), suggesting a broad technical curiosity. This self-starter attitude and continuous learning align well with a dynamic, research-oriented data science environment. However, the lack of team projects 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 are available.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Pleias_Rag_Interface

April 16, 2025 – April 17, 2025

Pleias_Rag_Interface — GitHub repository

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upload

February 27, 2025 – February 27, 2025

upload

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m-u-nee.github.io

February 18, 2025 – February 18, 2025

m-u-nee.github.io — GitHub repository

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pdf_processing_pipeline

January 23, 2025 – January 23, 2025

pdf_processing_pipeline — GitHub repository

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rag_evaluator

January 16, 2025 – February 19, 2025

rag_evaluator — GitHub repository

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tokenization_eval

October 8, 2024 – October 8, 2024

tokenization_eval — GitHub repository

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tok_library

September 26, 2024 – September 27, 2024

tok_library — GitHub repository

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gpt-2

August 5, 2024 – August 5, 2024

gpt-2 — GitHub repository

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Sentiment-analysis

August 5, 2024 – April 25, 2025

Sentiment-analysis — GitHub repository

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LLM-practice

December 6, 2023 – December 26, 2023

Practice in understanding and coding LLMS from scratch, following https://karpathy.ai/zero-to-hero.html

View Project

Key Strengths

Demonstrated interest in Large Language Models (LLMs) and related concepts through personal projects like 'LLM-practice', 'rag_evaluator', 'Pleias_Rag_Interface', 'tokenization_eval', and 'tok_library'.
Practical experience with Python, a core language for Data Science and LLM development.
Familiarity with Jupyter Notebooks for data exploration and model development.
Exposure to RAG (Retrieval Augmented Generation) systems, indicating an understanding of modern NLP architectures.

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 are available.

Mattia Umberto Nee

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit