Marco Martini

Data Scientist

https://talent.gravityer.com/marco-martini

ItalyMember since June 25, 2026

Key Strengths

Demonstrated proficiency in Python and Jupyter Notebooks, relevant for data science tasks.
Experience with C++ and embedded systems, indicating strong foundational programming skills.
Exposure to Docker and Shell scripting for environment setup and automation.
Academic project experience (Master_Thesis, Bachelor_thesis) suggests research and problem-solving capabilities.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, including embedded systems, graphics, and general programming utilities. While diverse in technology, the direct alignment with a 'Data Scientist' role is limited, with only one project explicitly mentioning 'Graph Databases' and 'Python'. This suggests a potential fit for roles requiring strong engineering fundamentals but less direct experience in core data science methodologies (e.g., machine learning, statistical modeling, big data platforms).

Soft Skills & Operational Fit

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

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Projects

frametime_measurer

March 25, 2026 – Present

A small utility to detect estimated framerates and frame times from a fixed fps source

View Project

esp32-remote-input

March 12, 2026 – Present

A USB KVM like server for ESP32S32 with a wayland client

View Project

VORTICE-vdi

September 24, 2025 – November 17, 2025

Fedora Gnome Desktop image for VDI on VORTICE

View Project

VORTICE

September 24, 2025 – November 19, 2025

OCI Image for Containerized, hardware accelerated VDI

View Project

weston

November 12, 2024 – December 10, 2024

Fork of Weston

View Project

Master_Thesis

November 12, 2024 – February 25, 2025

Master_Thesis — GitHub repository

View Project

BTP

October 18, 2024 – January 9, 2025

BTP Github Repo for Graph Databases

View Project

Bachelor_thesis

August 25, 2022 – September 10, 2022

Bachelor_thesis — GitHub repository

View Project

Embedded-Survivors

May 13, 2022 – June 14, 2022

Progetto Embedded

View Project

reduction-false-positive

May 7, 2021 – August 23, 2021

reduction-false-positive — GitHub repository

View Project

Key Strengths

Demonstrated proficiency in Python and Jupyter Notebooks, relevant for data science tasks.
Experience with C++ and embedded systems, indicating strong foundational programming skills.
Exposure to Docker and Shell scripting for environment setup and automation.
Academic project experience (Master_Thesis, Bachelor_thesis) suggests research and problem-solving capabilities.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Marco Martini

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit