Augusto Iacopini

Data Scientist

https://talent.gravityer.com/augusto-iacopini

growing developer

ArgentinaMember since June 29, 2026

Key Strengths

Demonstrated interest in Data Science through personal projects like 'data-science-python' and 'clasificacion-presidentes'.
Experience with Python and Jupyter Notebook, which are fundamental tools in Data Science.
Exposure to machine learning concepts (e.g., scikit-learn algorithms, Pix2pix image transform).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment. The project diversity is somewhat limited to data science and basic web development.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

web-laboratorio

December 4, 2023 – December 4, 2023

web para laboratorio "PatagónIa Lab"

View Project

Big-Data-Redes

May 27, 2023 – May 27, 2023

Dashboard data Kaagle

View Project

beta_futbol

May 2, 2023 – May 10, 2023

beta_futbol — GitHub repository

View Project

house_pix2pix_tutorial

November 8, 2022 – November 12, 2022

Pix2pix image transform

View Project

data-science-python

August 31, 2022 – September 28, 2022

scikit-learn algorithms for data science

View Project

clasificacion-presidentes

August 26, 2022 – August 26, 2022

clasificacion-presidentes — GitHub repository

View Project

Desarrollo

June 24, 2022 – June 24, 2022

notebook

View Project

camara_seguridad

February 24, 2022 – February 24, 2022

deteccion de movimiento por web cam, y envio de imagenes captadas a e-mail

View Project

Key Strengths

Demonstrated interest in Data Science through personal projects like 'data-science-python' and 'clasificacion-presidentes'.
Experience with Python and Jupyter Notebook, which are fundamental tools in Data Science.
Exposure to machine learning concepts (e.g., scikit-learn algorithms, Pix2pix image transform).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

Augusto Iacopini

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit