mpadillagarcia
Master's Degree in Visual Analytics & Big Data + AI Specialization. Bachelor's Degree in Computer Engineering.
Albacete, Castilla - La Mancha, España
Pinned Repositories
Time-Series-Clustering
This project aims to develop clustering models to group cryptocurrencies based on the behavior of their price time series over a 365-day period. Using data from 234 cryptocurrencies obtained from the Binance platform, data cleaning and transformation techniques are applied to adapt them to the study's objectives.
Grafana-Dashboads
We work with Grafana, a widely used data visualization tool, to create visualizations and reports in the logistics context. Technical skills and creativity are applied to provide effective visual solutions that help to understand and analyze logistics data efficiently.
FFmtools
FFmtools is a powerful application developed for my Bachelor's Thesis, which implements the main capabilities from FFmpeg tool such as Video & Audio Processing, Format Conversion, Filters & Effects, Transcoding, Editing, Encoding & Decoding, Manipulating Metadata ...
NeuralNetwork-Examples
This repository includes three Jupyter notebooks demonstrating neural networks: one for image classification using Fashion MNIST, one for image classification with Convolutional Neural Networks (CNNs) on Simpsons characters, and one for time series forecasting using Recurrent Neural Networks (RNNs) with temperature data.
DevOps-MVC-Project
DevOps Web app with Visual Studio Enterprise for interacting with cryptocurrencies. Features: buy/sell, request loans, price alerts. Uses MVC pattern, unit testing, debugging. Built with C# and a file-based database. Scalable and easy-to-maintain architecture.
My-Portfolio
My web portfolio built with Astro and Tailwind CSS, featuring an interactive particle background using astro-particles.
Electroshop
Simulation of a webpage about an electronics store primarily using HTML, CSS, and PHP. XAMPP, MySQL, AJAX, and jQuery have also been used.
ESP32-Examples
The repository provides ESP32 examples with ADXL343 accelerometer (I2C) for capturing acceleration. Includes BLE for mobile data transfer, Thingsboard for real-time visualization, MQTT for IoT, and NFC (SPI) for wireless interaction. Develop custom IoT, monitoring, motion detection, and portable apps with ESP32 and ADXL343.
LoPy4-LoRaWAN-Example
This repository presents a comprehensive example of how to use the LoPy4 device with the LoRaWAN protocol, using the MicroPython programming language. The main focus of the example is the acquisition and sending of data for luminosity, humidity, and acceleration using the Pysense sensors.
Machine-Learning-Data
Public datasets
mpadillagarcia's Repositories
mpadillagarcia/mpadillagarcia
Welcome to my GitHub profile! Here you'll find projects showcasing my expertise in Data Engineering, Machine Learning and Data Visualization. I'm passionate about building scalable solutions and leveraging data to drive insights. Explore my repositories to see my work with technologies like Python, TensorFlow, Grafana, and more.
mpadillagarcia/My-Portfolio
My web portfolio built with Astro and Tailwind CSS, featuring an interactive particle background using astro-particles.
mpadillagarcia/STRIPS-PDDL-Planning
This repository contains code for automated planning using STRIPS/PDDL. The implementation includes different planning problems and compares search strategies like BFWS and LAMA-first. It simulates the transportation of packages in a city, handling constraints such as location capacities and processing requirements.
mpadillagarcia/PowerBI-Dashboard
A comprehensive analysis of video game sales from 1980 to 2016 using PowerBI. This repository features interactive dashboards that explore sales trends by region, platform, genre, and publisher, offering insights into market dominance and evolution over time.
mpadillagarcia/NeuralNetwork-Examples
This repository includes three Jupyter notebooks demonstrating neural networks: one for image classification using Fashion MNIST, one for image classification with Convolutional Neural Networks (CNNs) on Simpsons characters, and one for time series forecasting using Recurrent Neural Networks (RNNs) with temperature data.
mpadillagarcia/Time-Series-Clustering
This project aims to develop clustering models to group cryptocurrencies based on the behavior of their price time series over a 365-day period. Using data from 234 cryptocurrencies obtained from the Binance platform, data cleaning and transformation techniques are applied to adapt them to the study's objectives.
mpadillagarcia/Grafana-Dashboads
We work with Grafana, a widely used data visualization tool, to create visualizations and reports in the logistics context. Technical skills and creativity are applied to provide effective visual solutions that help to understand and analyze logistics data efficiently.
mpadillagarcia/Machine-Learning-Data
Public datasets
mpadillagarcia/DevOps-MVC-Project
DevOps Web app with Visual Studio Enterprise for interacting with cryptocurrencies. Features: buy/sell, request loans, price alerts. Uses MVC pattern, unit testing, debugging. Built with C# and a file-based database. Scalable and easy-to-maintain architecture.
mpadillagarcia/TareasApp
This repository features a web app using Node.js, HTML, CSS, JS. Users can manage tasks with titles and descriptions. It follows MVC/MVP pattern for an organized architecture. Includes task management, interactive UI and dynamic updates. Ideal for learning Node.js web dev and MVC/MVP design patterns.
mpadillagarcia/LoPy4-LoRaWAN-Example
This repository presents a comprehensive example of how to use the LoPy4 device with the LoRaWAN protocol, using the MicroPython programming language. The main focus of the example is the acquisition and sending of data for luminosity, humidity, and acceleration using the Pysense sensors.
mpadillagarcia/ESP32-Examples
The repository provides ESP32 examples with ADXL343 accelerometer (I2C) for capturing acceleration. Includes BLE for mobile data transfer, Thingsboard for real-time visualization, MQTT for IoT, and NFC (SPI) for wireless interaction. Develop custom IoT, monitoring, motion detection, and portable apps with ESP32 and ADXL343.
mpadillagarcia/FFmtools
FFmtools is a powerful application developed for my Bachelor's Thesis, which implements the main capabilities from FFmpeg tool such as Video & Audio Processing, Format Conversion, Filters & Effects, Transcoding, Editing, Encoding & Decoding, Manipulating Metadata ...
mpadillagarcia/Electroshop
Simulation of a webpage about an electronics store primarily using HTML, CSS, and PHP. XAMPP, MySQL, AJAX, and jQuery have also been used.