Marco Petri

Data Scientist

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

Python Lover, Computer Science PhD Student @ Polimi

Politecnico di Milano

Key Strengths

Demonstrated proficiency in Python for data science and machine learning tasks, particularly in anomaly detection and time series analysis.
Experience with Jupyter Notebook for data exploration and analysis.
Familiarity with Docker for containerization, indicating an understanding of deployment practices.
Active personal project contributions showcasing initiative and continuous learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are exclusively personal, which, while demonstrating initiative, does not provide insight into collaborative work environments or team dynamics. The single listed professional experience is current and recent, limiting the ability to assess long-term cultural fit or adaptability across different organizational cultures. The target role is Data Scientist, and the projects align well with this, but the breadth of experience outside of personal projects is limited.

Soft Skills & Operational Fit

The provided data is insufficient to assess soft skills or operational fit. The psychometric test score is 0, offering no insights.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

template-python-deep-learning

June 3, 2026 – Present

template-python-deep-learning — GitHub repository

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sh-utils

February 4, 2026 – Present

Utilities to set up tools or your pc system after a clean install.

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article-medium-pytest-code-quality

May 30, 2025 – September 7, 2025

Source-code repository for "PyTest for High-Quality Code in Complex Python Applications" article on Medium

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anomalearn

March 29, 2023 – August 10, 2023

A modular and extensible end-to-end library for time series anomaly detection

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marcopetri98

March 2, 2023 – Present

marcopetri98 — GitHub repository

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AD-periodic-TS

July 2, 2022 – February 7, 2024

This repository contains the material of the paper "Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms"

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HungryBirds_Vulkan_CG

June 9, 2022 – September 28, 2022

Repository for the computer graphics project A.Y. 2021-2022

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marcopetri98.github.io

April 9, 2022 – Present

My personal page about my studies

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2021-2022-thesis

February 16, 2022 – April 17, 2023

Github repository containing all the codes used for the thesis on Anomaly Detection on IoT devices' time series and on the prediction of the residual lifetime of the component.

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RGBD-Triplet-Patched-Localization

February 4, 2022 – September 29, 2022

RGB-D Semantic Sampling developed through OpenCV in Python based on images take by IntelSense RGB-D camera

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Key Strengths

Demonstrated proficiency in Python for data science and machine learning tasks, particularly in anomaly detection and time series analysis.
Experience with Jupyter Notebook for data exploration and analysis.
Familiarity with Docker for containerization, indicating an understanding of deployment practices.
Active personal project contributions showcasing initiative and continuous learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

The provided data is insufficient to assess soft skills or operational fit. The psychometric test score is 0, offering no insights.

Marco Petri

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit