Engineering Physics student, passionate about computational physics, dynamical systems and cosmology. I've worked in forecasting projects for Econophysics and Data Pricing for the dairy industry. Participant of hackathons and summer schools related to Data Science. Recently, I'm working in my thesis project called Visualization of Cosmological Models in which I develope an Graphic User Inteface in order to make cosmological concepts learning more suitable, not only for physicists but for pre-graduate students and enthusiasts.
Mechanical design of wind turbines, analysis of environmental meteorological data, and control of variables related to power generation. Remote data extraction. Build mechatronics systems to extract data in an automatized way, also developing the corresponding software and creating a simple app in which you can consult data related to power generated and consumed, wind velocity, voltage, temperature, and some other quantities of interest.
The main idea of this project is to provide green energy for a couple of buildings located in campus Aeropuerto, UAQ; my community.
I learned the fundamentals of physics and computational programming tools that allow me to combine theory, practice, and real-world applications.
Online course with remote sessions with experts where I learned the basics of Data Science. The course was structured as follows:
In this Coursera specialization, I'm getting a proven deep understanding of massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. Also, understanding the mathematical foundations behind all machine learning & deep learning algorithms and apply it in practical use cases, justify architectural decisions, and the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability. The specialization is composed of 4 courses as follows:
Predict a customer's credit card approval based on their application record.
View ProjectWeb scrapping of dairy price data. Use of an LSTM network to predict lactose and whey price to answer questions related to dynamic pricing and inventory management.
View ProjectAdding up the most important topics from different subjects I learned during my degree, I decided to solve it computationally, i.e, plots, gifs. Some problems involve differential equations in the context of Quantum Mechanics, Classical Mechanics, Electrodynamics and some more.
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