Virgínia Monnerat

Data Scientist

https://talent.gravityer.com/virginia-monnerat

Rome, Lazio, ItalyMember since June 27, 2026

Key Strengths

Demonstrated proficiency in Python through projects like XISMuS and BVHsmooth, which is relevant for data science.
Experience with scientific computing tools like Jupyter Notebook and Scilab (ALN project).
Exposure to multiple programming languages (Python, C++, Ruby, Java, Go, Lua) indicates adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal, exploratory projects across various technologies. While this demonstrates curiosity and self-driven learning, the lack of team-based or collaborative projects makes it difficult to assess cultural fit for a professional team environment. The projects are diverse but lack direct alignment with typical data science team workflows or production system considerations.

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

ProgettoCorsoDotNet

November 16, 2021 – November 18, 2021

ProgettoCorsoDotNet — GitHub repository

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XISMuS

March 7, 2019 – July 6, 2023

X-Ray Fluorescence Imaging Software for Multiple Samples is an open source software to manipulate and study macro-X-Ray Fluorescence (MA-XRF) datasets. XISMuS also works as a sample management tool, where you can easily change between datasets (samples) and compare, cross-interact and normalize them.

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BVHsmooth

August 11, 2018 – August 14, 2018

Apply smoothening filters to an animation in BVH format.

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ALN

March 19, 2018 – December 2, 2019

Álgebra Linear Númerica - 2017.1 - UERJ/IPRJ

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findinpainting

February 14, 2018 – April 17, 2018

Kind of Where's Wally, but with paintings... and no Wally. :)

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RSA

October 28, 2017 – October 28, 2017

RSA implementation in python.

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ruby_init

September 20, 2017 – October 5, 2017

Starter ruby project.

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box3d

September 1, 2017 – April 17, 2018

Experiment using lua+löve to create a 3d box space

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photogallery

March 23, 2017 – May 28, 2017

This is a basic photo gallery web site.

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gograph

November 25, 2016 – November 25, 2016

Graph implementation in golang

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Key Strengths

Demonstrated proficiency in Python through projects like XISMuS and BVHsmooth, which is relevant for data science.
Experience with scientific computing tools like Jupyter Notebook and Scilab (ALN project).
Exposure to multiple programming languages (Python, C++, Ruby, Java, Go, Lua) indicates adaptability.

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.

Virgínia Monnerat

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit