Vanessa Robledo

Data Scientist

https://talent.gravityer.com/vanessa-robledo

Hi there! I'm a PhD student trying to do cool stuff. Some of these repos might help you, some might not — but anyways, welcome! 😊 • Developer of @ATRACKCS ☁

Member since June 29, 2026

Key Strengths

Extensive experience with Python for scientific computing and data analysis, as evidenced by multiple projects.
Strong background in environmental science and hydrological modeling, particularly with the EF5 model and NASA SERVIR project.
Proficiency in Jupyter Notebook for reproducible research and data exploration.
Demonstrated ability to develop and maintain complex scientific software packages (e.g., ATRACKCS, TITO).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and research-oriented, indicating a strong drive for independent work and scientific contribution. The alignment with a 'Data Scientist' role is good given the focus on data analysis, modeling, and Python. However, the lack of team-based or commercial projects limits the assessment of collaborative cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest a focus on independent research and development.

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Projects

Burkina_Faso_EF5_configuration

January 19, 2026 – Present

EF5 configuration for Burkina Faso region

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hsaf-precip-converter

November 23, 2025 – November 27, 2025

HSAF precipication data geotiff converter

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TITO

July 4, 2025 – Present

Threading Inputs to Outputs (TITO) is a Framework for Real-time Precipitation Nowcasting & Multi-source Hydrologic Forecasting

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EF5Docs

February 20, 2025 – Present

EF5Docs — GitHub repository

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MCSMIP_project

February 6, 2024 – March 22, 2025

This repository hosts codes and data used for the MCSMIP project.

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MCSs_Climatology_NwSA

December 29, 2023 – December 5, 2024

21-year database of mesoscale convective systems tracked over northwestern South America using the ATRACKCS algorithm.

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EF5-builder-toolkit

July 2, 2023 – November 19, 2025

A complete guide to constructing and implementing an EF5 model from scratch as part of NASA's SERVIR project.

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EF5WADomain

June 21, 2023 – Present

Configuration of EF5 computational domain for West Africa.

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ATRACKCS

April 9, 2022 – Present

Python package for automated detection and tracking of mesoscale convective systems

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Key Strengths

Extensive experience with Python for scientific computing and data analysis, as evidenced by multiple projects.
Strong background in environmental science and hydrological modeling, particularly with the EF5 model and NASA SERVIR project.
Proficiency in Jupyter Notebook for reproducible research and data exploration.
Demonstrated ability to develop and maintain complex scientific software packages (e.g., ATRACKCS, TITO).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest a focus on independent research and development.

Vanessa Robledo

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit