Osmar Yupanqui Carrasco

Data Scientist

https://talent.gravityer.com/osmar-yupanqui-carrasco

Geoinformatics | Remote Sensing | GIS | Deep Learning | Web Developing

Lima, Lima, Peru

Key Strengths

Demonstrated interest in Artificial Intelligence and Deep Learning through personal projects like 'EarthRISE-Applied-Artificial-Intelligence-and-Deep-Learning-Book' and 'Selective-Logging-and-Roads-Detection-with-Deep-Learning-and-GEE'.
Experience with TensorFlow training as indicated by 'Peru-tensorflow-training' project.
Proficiency in Jupyter Notebook, a key tool for data scientists.
Exposure to geospatial data processing with projects involving 'Selective-Logging-and-Roads-Detection-with-Deep-Learning-and-GEE' and 'STAC-tests'.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards AI/ML and data science, particularly in environmental applications, which could align well with organizations focused on similar domains. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit. The diversity of technologies (Jupyter Notebook, HTML, TeX, SCSS, Ruby, TypeScript, JavaScript, CSS) indicates a willingness to explore different tools, but also suggests a broad rather than deep specialization in core data science technologies.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

TallerACR2025

October 1, 2025 – Present

Este repositorio contiene el material de entrenamiento del curso de vigilancia, control y monitoreo de la biodiversidad dirigido a personal de ACR en Perú.

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amplify-vite-react-template

February 19, 2025 – February 19, 2025

My Amplify Gen 2 starter application

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EarthRISE-Applied-Artificial-Intelligence-and-Deep-Learning-Book

June 17, 2024 – Present

EarthRISE-Applied-Artificial-Intelligence-and-Deep-Learning-Book — GitHub repository

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TOP-Linked-Lists

November 28, 2023 – June 25, 2024

A solution for the Odin Project course about linked lists

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TOP-Recursive

October 27, 2023 – November 28, 2023

TOP-Recursive — GitHub repository

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TOP-Weather

September 24, 2023 – October 25, 2023

A weather app for the Odin Project

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TOP-Todo-List

August 25, 2023 – September 20, 2023

TOP-Todo-List — GitHub repository

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STAC-tests

July 25, 2023 – July 25, 2023

STAC-tests — GitHub repository

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Peru-tensorflow-training

July 7, 2023 – January 8, 2025

A GitHub repository for the TensorFlow Training held in Peru (August 8th-11th)

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Selective-Logging-and-Roads-Detection-with-Deep-Learning-and-GEE

March 1, 2023 – March 14, 2023

A series of python notebooks describing a simple workflow to develop a deep learning model with very high resolution images.

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Key Strengths

Demonstrated interest in Artificial Intelligence and Deep Learning through personal projects like 'EarthRISE-Applied-Artificial-Intelligence-and-Deep-Learning-Book' and 'Selective-Logging-and-Roads-Detection-with-Deep-Learning-and-GEE'.
Experience with TensorFlow training as indicated by 'Peru-tensorflow-training' project.
Proficiency in Jupyter Notebook, a key tool for data scientists.
Exposure to geospatial data processing with projects involving 'Selective-Logging-and-Roads-Detection-with-Deep-Learning-and-GEE' and 'STAC-tests'.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Osmar Yupanqui Carrasco

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit