Santiago Ponte
Data ScientistArgentinaMember since June 26, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Graficos-Astronomicos
June 13, 2026 – Present
Graficos astronomicos en base a a archivos FITS.
View Projectdeep-learning-with-python_fc
April 22, 2026 – Present
Implementación del código y conceptos teóricos implementados en el libro *"Deep Learning with Python"* de François Chollet (V1). Son implementaciones propias espero le sirva a cualquier persona que esté tratando de resolver los ejercicios del libro. Debido a código heredado en la edición de 2018 se tuvo que adaptar código para que funcione.
View ProjectDetectorsWithUltralitics
March 25, 2026 – Present
Repositorio preparado para realizar entrenamientos de modelos de detección de objetos basados en YOLO.
View ProjectIA_Format_Conversor
March 22, 2026 – Present
Código python que facilita la conversión de modelos de IA en distintos formatos.
View Projectpaper-JCC2026
March 10, 2026 – Present
Articulo para publicar en las [Jornadas de Cloud Computing, Big Data & Emerging Topics (JCC-BD&ET)](https://jcc.info.unlp.edu.ar/) de 2026
View ProjectSpectroscopicObservationDetector
February 11, 2026 – Present
SOD (Spectroscopic Observation Detector) - It is a deep learning-based detection model for detecting observations in spectroscopic images. Based on the YOLO family of architectures.
View ProjectGASP
July 3, 2025 – Present
GASP (Generator for Astronomical Spectroscopic Plates) - Is a set of tools for the generation of sintetic pictures of spectroscopic plate scans
View ProjectPlateUNLP
February 28, 2020 – Present
PlateUNLP es un software especializado en la digitalización y procesamiento de información espectroscópica en placas de vidrio.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing on specific technical implementations. While demonstrating initiative, there is no information regarding collaborative work, team environments, or contributions to open-source projects beyond personal repositories. The project diversity is good within the data science/ML domain, but lacks broader industry context. The target role is 'Data Scientist', and the projects align well with the technical aspects of this role, particularly in deep learning and image processing. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit for a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.