Matteo Perona

Data Scientist

https://talent.gravityer.com/matteo-perona

Los Angeles, La Jolla, CanadaMember since June 30, 2026

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'optimal-execution' and 'bayesian-RL-crypto'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to diverse technologies including Rust, JavaScript, HTML, and CSS, indicating a broad technical curiosity.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards self-directed learning and exploration across various technical domains, which could indicate a proactive and curious mindset. The diversity of projects, from financial modeling to web development, suggests adaptability. However, without professional experience or detailed project descriptions, it's difficult to fully assess alignment with a collaborative team environment or specific company culture.

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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Assessing your cultural and operational fit

Projects

feedback-instrument

June 5, 2026 – Present

feedback-instrument — GitHub repository

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music-sim-benchmark

June 3, 2026 – Present

music-sim-benchmark — GitHub repository

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pred-market-trading

May 27, 2026 – Present

pred-market-trading — GitHub repository

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optimal-execution

May 4, 2026 – Present

optimal-execution — GitHub repository

View Project

teophone

April 26, 2026 – Present

teophone — GitHub repository

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bayesian-RL-crypto

April 26, 2026 – Present

bayesian-RL-crypto — GitHub repository

View Project

blind-community-detection-on-prediction-markets

April 25, 2026 – Present

blind-community-detection-on-prediction-markets — GitHub repository

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compass-website

April 26, 2023 – June 8, 2023

compass-website — GitHub repository

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Riso

April 12, 2023 – May 28, 2023

A peer to peer commodity exchange built with substrate.

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usa-power-outage-analysis

February 24, 2023 – February 26, 2023

exploring USA power outage data

View Project

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'optimal-execution' and 'bayesian-RL-crypto'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to diverse technologies including Rust, JavaScript, HTML, and CSS, indicating a broad technical curiosity.

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.

Matteo Perona

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit