Felipe Tommaselli

Data Scientist

https://talent.gravityer.com/felipe-tommaselli

having fun with robots learning | PhD student @ USP

Member since June 29, 2026

Key Strengths

Demonstrated interest in Data Science and Robotics through projects like 'CROW', 'nn_lidar_perception', and 'advanced-control'.
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebook for data analysis and experimentation.
Exposure to C++ for performance-critical applications, relevant in some data science and robotics contexts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards academic and personal projects, particularly in robotics, control systems, and data perception. This indicates a self-driven individual with a passion for complex technical challenges. However, the projects are predominantly personal/academic, and there's no information on collaborative work or professional experience, making it difficult to fully assess cultural fit for a team-oriented professional environment. The diversity of technologies (Python, C++, JavaScript, Solidity, Matlab) suggests adaptability and a broad learning capacity.

Soft Skills & Operational Fit

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

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Projects

mira-imav2026

June 15, 2026 – Present

mira-imav2026 — GitHub repository

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terrasentia_navigation

January 14, 2026 – Present

terrasentia_navigation — GitHub repository

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frank

December 1, 2025 – December 12, 2025

frank — GitHub repository

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Anythink-Market-42mei2v2

October 1, 2025 – October 1, 2025

Anythink-Market-42mei2v2 — GitHub repository

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lending-platform

October 25, 2024 – January 5, 2025

Lending Platform usign smart-contracts on a blockchain-based enviroment with risk analysis for lending. Project for SSC0958 - Cryptocurrencies and Blockchain

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crow

October 21, 2024 – Present

CROW: A Self-Supervised Crop Row Navigation Algorithm for Agricultural Fields

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advanced-control

September 3, 2023 – Present

Compilation of Advanced Control disciplines (including Linear Systems Control, Adaptive Control, and Digital Control)

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nn_lidar_perception

May 20, 2022 – August 24, 2024

Undergrad Research Project for a Perception system LiDAR-based of a mobile agricultural robot.

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Felipe-Tommaselli

September 6, 2021 – Present

Felipe-Tommaselli — GitHub repository

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micromouse-evolutivo

August 20, 2021 – January 14, 2022

Projeto desenvolvido para disciplina de Sistemas Evolutivos

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Key Strengths

Demonstrated interest in Data Science and Robotics through projects like 'CROW', 'nn_lidar_perception', and 'advanced-control'.
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebook for data analysis and experimentation.
Exposure to C++ for performance-critical applications, relevant in some data science and robotics contexts.

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 are available.

Felipe Tommaselli

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit