Emmanuel Amador Maldonado | Data Scientist in Progress, Python | Energy Engineer

Emmanuel Amador Maldonado

Data Scientist in Progress, Python | Energy Engineer

Based in Mexico City, Mexico

About

I am an energy engineer interested in the Python data science world, electromobility and renewable energies. I've been programming since 2016, and my first programming language learned was C++. When I hear about Python in 2018, I discovered it has an easier syntax than C++ and it was used in many companies, so in 2019 I started learning python just for fun, realizing I enjoy making algorithms to solve problems and finding new way to optimize code. Finally, I decided to become a data scientist in Python because I realized how powerful, complex and useful can data be. I hope I could use all the knowledge I've learned to help enterprises being more competitive.

Skills

Projects

Municipality with the highest production of pine and oak pruning.

Finding a municipality in Mexico which produces the highest amount of pine and oak pruning to install a new hybrid drying system based on solar and electric energy. Libraries used: Pandas, Matplotlib and Numpy. File size: 2549x6

Solar resource in Madera, Chihuaha, Mexico.

Based on the hourly irradiance data from November 2020 to November 2021 from the NASA's Power Data Access Viewer, I made curves of irradiance of an average day of each month. The main purpose of this project was having a clear knowledge of the solar resource throughout the year.

Comparison of solar irradiance collection in a solar concentrator with tracking system

Based on the solar resource from Madera, Chihuaha, Mexico, I quantified the improvement in the solar irradiance collection of a solar collector with a 1D tracking system compared to a static solar collector.

Analyzing and making a predictive model for the cost of properties in Bogota, Colombia

In the data science immerion with Alura LATAM, I created a multivariable linear regression to find the prices of some properties in Bogota, Colombia.

Wind Power Global Installed Capacity

Through web scraping with python, I retrieved the wind power installed capacity of 132 countries from TheWindPower webpage, and have generated a quick analysis.

Experience

Feb 2023 - May 2023

Intern

Led comprehensive study for locating best places to install electric vehicle charging stations across Mexico City as per economic, technical, and social parameters along with governmental open data sources. Implemented data cleaning, filtering, analysis, and visualization via Python. Exposed findings for implementation of dashboard created with Power BI. Creation of technical sheets about Electric vehicle's charging standards and challenges to the grid.

Education

2018-2022

Energy Engineering

During four and a half years, I learned how to define the potential of a place to use renewable and non-renewable energies to generate electricity. Also learned about energy storage systems and programs like Matlab, Mathematica and C++. In my bachelor's thesis, I designed and simulated the performance a hybrid dryer which consist in a parabolic trough solar concentrator with an electric backup system, in that work, Python were used to clean, filter, analyzed and show data from biomass production and solar irradiance. Mathematica were used to simulate the performance of the concentrator.

March 2023 - Present

Data Science's IBM Professional Certificate

10 courses related to data science methodology, implementation of IA models, data ETL (Extraction, Transforming and Loading), Knowledge of Python, SQL, GIT, and Interface Develop Environments (IDEs) such as Jupyter Notebook, Spyder, GITHUB, and others.