Lucas R de Abreu

Data Scientist

https://talent.gravityer.com/lucas-r-de-abreu

Member since June 25, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exploration of advanced topics like Bayesian inference and LLM evaluation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects, from monitoring to LLM evaluation, indicates a broad interest within the data science domain. However, without professional experience or team-based projects, it's difficult to fully assess collaboration and work style.

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

macbook_monitoring

March 8, 2026 – Present

macbook_monitoring — GitHub repository

View Project

personal-gpt

March 12, 2025 – March 12, 2025

personal-gpt — GitHub repository

View Project

dbt_layered

February 11, 2025 – February 11, 2025

dbt_layered — GitHub repository

View Project

outlook_calendar_analytics

December 20, 2024 – December 20, 2024

outlook_calendar_analytics — GitHub repository

View Project

huggingface_lib_exploration

October 1, 2024 – October 1, 2024

huggingface_lib_exploration — GitHub repository

View Project

llm_evaluation

September 27, 2024 – September 28, 2024

llm_evaluation — GitHub repository

View Project

bayesian_inference

September 4, 2024 – December 18, 2024

bayesian_inference — GitHub repository

View Project

labreu

October 25, 2023 – October 25, 2023

labreu — GitHub repository

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InteractiveClustering

October 20, 2023 – October 20, 2023

InteractiveClustering — GitHub repository

View Project

ml-playground

June 8, 2017 – January 10, 2019

ml-playground — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exploration of advanced topics like Bayesian inference and LLM evaluation.

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.

Lucas R de Abreu

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit