Miguel

Data Scientist

https://talent.gravityer.com/miguel

Sr. Threat Research Engineer. A lifelong learner with a passion for innovation.

Member since June 23, 2026

Key Strengths

Demonstrated interest in Machine Learning and AI, particularly in adversarial aspects, through projects like 'adversarial-machine-learning' and 'uriDeep'.
Proficiency in Python, a core language for Data Science, evident in multiple projects ('MySecTalks', 't3chfest2017', 'SpyScrap', 'uriDeep', 'GraFScaN').
Experience with Jupyter Notebook, a common tool for data exploration and model development in Data Science.
Exposure to OSINT and facial recognition in the 'SpyScrap' project, indicating practical application of data processing and analytical skills.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards security and adversarial machine learning, which could be a good fit for roles requiring a proactive and analytical mindset. The personal nature of all projects suggests self-motivation and initiative. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

falco-push-field-test

March 24, 2026 – Present

Falco push field test

View Project

SEAS

March 19, 2026 – Present

TEST

View Project

Miguel000.github.io

September 19, 2025 – Present

Portfolio

View Project

MySecTalks

June 20, 2025 – Present

MySecTalks — repository

View Project

offensive-ai-compilation

January 28, 2023 – Present

A curated list of useful resources that cover Offensive AI.

View Project

adversarial-machine-learning

November 12, 2021 – November 27, 2023

Taller de Adversarial Machine Learning

View Project

SpyScrap

July 2, 2019 – November 26, 2023

CLI and GUI for OSINT. Are you very exhibited on the Internet? Check it! Twitter, Tinder, Facebook, Google, Yandex, BOE. It uses facial recognition to provide more accurate results.

View Project

uriDeep

March 7, 2019 – November 25, 2021

Unicode encoding attacks with machine learning

View Project

GraFScaN

February 19, 2017 – January 22, 2025

[DEPRECATED] Security posture assessment tool for graph databases.

View Project

t3chfest2017

February 4, 2017 – February 5, 2017

Bot for t3chfets 2017's hackathon

View Project

Key Strengths

Demonstrated interest in Machine Learning and AI, particularly in adversarial aspects, through projects like 'adversarial-machine-learning' and 'uriDeep'.
Proficiency in Python, a core language for Data Science, evident in multiple projects ('MySecTalks', 't3chfest2017', 'SpyScrap', 'uriDeep', 'GraFScaN').
Experience with Jupyter Notebook, a common tool for data exploration and model development in Data Science.
Exposure to OSINT and facial recognition in the 'SpyScrap' project, indicating practical application of data processing and analytical skills.

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.

Miguel

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit