Matteo Costantini

Data Scientist

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

Milan, Lombardy, ItalyMember since June 25, 2026

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science, through multiple personal projects.
Experience with R and Matlab, indicating exposure to statistical computing and data analysis tools.
Involvement in a 'Data Technology & Machine Learning' project ('progetto-dtml') directly aligns with the target role.
Exposure to various programming paradigms (e.g., Lisp, Prolog) suggests a broad understanding of computational concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate a proactive and self-driven approach to learning and applying various technologies. The diversity of projects, including those related to data technology, machine learning, and information retrieval, indicates a strong interest in the target role of Data Scientist. The breadth of technologies used (Python, R, Java, JavaScript, Shell, Dockerfile, Lisp, Prolog, Matlab) suggests adaptability and a willingness to explore different tools and paradigms. However, without professional experience, the application of these skills in a collaborative, production-oriented environment is unknown.

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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Projects

fb-iptc-remover

July 13, 2019 – July 13, 2019

fb-iptc-remover — GitHub repository

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progetto-tasd

January 17, 2019 – January 17, 2019

This project aims to build an application for search and apply job offers, built with a microservice architecture.

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progetto-ir

December 18, 2018 – January 20, 2019

Progetto Information Retrieval

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vime-bot

September 4, 2018 – September 4, 2018

vime-bot — GitHub repository

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discorario

August 2, 2018 – December 8, 2022

discorario — GitHub repository

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progetto-lp

August 2, 2018 – August 2, 2018

Progetto Linguaggi di Programmazione

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mechanical-italian

August 2, 2018 – August 2, 2018

A simple script to label images faster

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progetto-dtml

August 2, 2018 – August 2, 2018

Progetto Data Technology & Machine Learning

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progetto-pss

December 16, 2017 – January 20, 2018

Progetto Processo e Sviluppo del Software

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PiCnIc-COADREAD

January 27, 2016 – May 5, 2019

PiCnIc implementation for COADREAD

View Project

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science, through multiple personal projects.
Experience with R and Matlab, indicating exposure to statistical computing and data analysis tools.
Involvement in a 'Data Technology & Machine Learning' project ('progetto-dtml') directly aligns with the target role.
Exposure to various programming paradigms (e.g., Lisp, Prolog) suggests a broad understanding of computational concepts.

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 Costantini

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit