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Universidad Nacional de Rio Cuarto
Data Scientist
June 30, 2026 – Present
nimble-gravity-sumbit-challenge
February 17, 2026 – Present
nimble-gravity-sumbit-challenge — GitHub repository
View Projecttasks-manager
September 19, 2025 – September 19, 2025
A simple task management REST API built with Node.js, Express, TypeScript, and MongoDB. This repository is meant as a learning project to practice fullstack development.
View Projecttrading-card-game
August 25, 2025 – August 25, 2025
trading-card-game — GitHub repository
View Projectjqwikog-experiments
March 12, 2025 – April 25, 2025
jqwikog-experiments — GitHub repository
View Projectcompiler
August 26, 2023 – November 23, 2023
A compiler built with Flex and Bison for the language's rules, tokens, and ASTs, with a type-checking algorithm, three-way code generation, and Assembly Code.
View ProjectBattlefield
September 8, 2022 – December 5, 2022
A dynamic battleship game with 4 different variants: Terrestrial, Aerial, Water, and Underwater
View ProjectTPBD-SistInfoHotel-FPS
May 6, 2022 – June 8, 2022
TPBD-SistInfoHotel-FPS — GitHub repository
View Projectabmodel-facturas-app
January 13, 2022 – September 7, 2025
A simple desktop application that will be used to generate a database given a .csv file and solve different kind of requests
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and diverse, showcasing a broad interest in different technical areas (game development, desktop applications, compilers, web APIs). While this demonstrates versatility, the direct alignment with typical Data Scientist roles is limited across all projects. The current 'Data Scientist' role is a strong fit, but without further details on responsibilities, it's hard to fully assess cultural fit beyond technical alignment. The experience level is listed as 0, which contradicts the current Data Scientist role, suggesting a potential data discrepancy or very early career stage in that role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.