Help & Supportcareers@gravityer.com
I'm an electronic engineer who loves her work in the area of Data Science and ML. I deeply believe that education is the most powerful weapon of transformation.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AIAWA
Data Scientist
June 28, 2026 – Present
Pandas-For-Data-Science-
July 21, 2023 – September 25, 2023
Pandas is a Python library specialised in handling and analysing data structures. Pandas defines new data structures based on the arrays of the NumPy library but with new functionalities. It also provides flexible, high-performance data structures and tools for data analysis.
View ProjectMachine-Learning-Fundamentals
July 19, 2023 – July 20, 2023
In this repository you will find the basics that every enthusiastic programmer needs to enter the amazing world of Machine Learning! Enjoy!
View ProjectML_Foundations
July 15, 2023 – July 15, 2023
requeridos para abordar ML. Incluye temas de Algebra Lineal, Estadistica y Ciencia de Datos Ver detalles 155 / 5.000 Resultados de traducción Resultado de traducción This repository provides concepts regarding the fundamentals required to address ML. Includes topics in Linear Algebra, Statistics and Data Science
View ProjectPresentation_KaggleX_Project
March 20, 2023 – March 22, 2023
Presentation KaggleX Project
View ProjectApproach-to-the-application-of-Data-Science-and-ML-as-key-tools-for-the-construction-of-public-polic
March 18, 2023 – March 20, 2023
Approach-to-the-application-of-Data-Science-and-ML-as-key-tools-for-the-construction-of-public-polic — GitHub repository
View Project4a-docs
November 9, 2021 – July 15, 2023
Este repositorio contendrá los proyectos correspondientes al Ciclo4
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong interest in Data Science and Machine Learning fundamentals, including linear algebra, statistics, and data science applications. This aligns well with a Data Scientist role. However, the projects lack detailed descriptions of collaboration or team-based work, making it difficult to assess cultural fit beyond individual technical interest. The listed experience as a Data Scientist is current but lacks details on responsibilities or achievements.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.