Daniel Chacón Mora

Data Scientist

https://talent.gravityer.com/daniel-chacon-mora

Passionate electrical engineer from the Universidad de Costa Rica.

San José, Alajuela Province, Costa Rica

Key Strengths

Demonstrated interest in data-related projects through 'Bluetooth_4.0_sim' and 'Lab_microcontroladores' which involve Python and Jupyter Notebook.
Experience with Python and Jupyter Notebook, foundational tools for Data Science.
Exposure to various programming languages (C++, Python, Matlab, Assembly, Shell) indicates versatility.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are all personal, indicating self-motivation and initiative. The diversity of projects, from microcontrollers to airflow control, suggests a broad interest in engineering and data applications. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.

Soft Skills & Operational Fit

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

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

Lab_microcontroladores

January 11, 2024 – February 22, 2024

Repositorio con poryectos de laboratorio.

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Portfolio

August 10, 2023 – Present

Projects made by Daniel Chacón Mora

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Cajita_tropical

May 12, 2023 – May 12, 2023

Repositorio con código de Cajita Tropical TCU

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Bluetooth_4.0_sim

May 10, 2023 – July 12, 2023

Bluetooth_4.0_sim — GitHub repository

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air_flow_control

February 6, 2023 – February 27, 2023

air_flow_control — GitHub repository

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Airspeed-measure

December 7, 2020 – December 7, 2020

This program was made for the measure of airspeed in a college ́s rocket.

View Project

Key Strengths

Demonstrated interest in data-related projects through 'Bluetooth_4.0_sim' and 'Lab_microcontroladores' which involve Python and Jupyter Notebook.
Experience with Python and Jupyter Notebook, foundational tools for Data Science.
Exposure to various programming languages (C++, Python, Matlab, Assembly, Shell) indicates versatility.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Daniel Chacón Mora

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit