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I'm Carlos

Developed an end-to-end platform that uses machine learning to predict whether customers will or will not subscribe to a bank program. The project included exploratory data analysis, model building and evaluation, and visualization of the results. Using Python, Pandas, Matplotlib, Sklearn and PowerBI

Developed a gender recognition system using deep learning methods to scan eye images and determine the gender of the patient.} The system was able to accurately classify individuals as male or female. Using Python, Pandas, Numpy and Tensorflow

Real-time control of a smart office illumination system using Arduinos and Raspberry Pi: Developed a system for real-time control of an office's illumination using Arduinos and Raspberry Pi. The system was able to automatically adjust the lighting levels in the office based on real-time information, such as the time of day and the presence of people in the room. The use of Arduinos and Raspberry Pi allowed for a low-cost and flexible solution that could be easily integrated into existing office infrastructure. Made in C++, MATLAB and Arduino.

Project that consists of two other project on the subject of Artificial Intelligence, this project were both made in Python.

• Airline Scheduling And Routing (ASAR) problem: Developed and implemented an A* algorithm to solve the ASAR problem, which aims to maximize a company's profit by finding the optimal daily schedule and routing of its airplanes.
• Fire detection in a museum: Addressed the problem of detecting fires in a museum, taking into account a fire propagation model and the uncertainty of the fire detectors. The project used artificial intelligence techniques to accurately detect fires and prevent damage to the museum's valuable artifacts.

The travelling sales problem (TSP) and the ant colony optimization (ACO) algorithm: Developed and implemented the ant colony optimization (ACO) algorithm to solve the travelling sales problem (TSP). The TSP aims to find the shortest cycle in a weighted graph that passes through all its nodes, and the ACO algorithm uses a simulation of ants laying down pheromone trails to find solutions to the problem. The project was implemented in Java.

Interactive voice response system (IVR) based on voice over IP (VoIP): Developed an IVR system using the voice over IP (VoIP) protocol. The project involved understanding and implementing the relevant VoIP protocols, and the system was built using Python and config files. The IVR system allowed for the creation of automated voice menus and interactions with users via phone calls. .

Linear state feedback control of an inverted pendulum: Developed a control system for an inverted pendulum using linear state feedback. The project involved the design and implementation of the control algorithms in MATLAB, and the system was able to accurately control the pendulum's motion and maintain its stability. The use of linear state feedback allowed for a simple and effective control solution. .

Two Projects in the suject of Robotics, all made in MATLAB:

• Direct and Inverse Kinematics Designed the plant model and the controller Control of a Flexible Robot Arm Joint: Developed control algorithms for a flexible robot arm joint, allowing for precise and accurate manipulation of the arm. The algorithms were able to account for the flexibility of the joint and its effect on the arm's motion, resulting in improved performance.
• Navigation Strategies for Mobile Robots Navigation strategies for mobile robots: Implemented various navigation strategies for mobile robots, including path planning and obstacle avoidance, to enable the robots to navigate complex environments. The project involved the development of algorithms and software to control the robots' motion and decision-making, and the resulting system allowed for robust and efficient navigation.

Transferring a robot from point A to B using multiple algorithms to estimate the optimal route: Developed algorithms to guide a robot from one point to another, taking into account the robot's capabilities and the characteristics of the environment. The project involved the use of Matlab to implement and evaluate the algorithms, and the resulting system was able to find efficient and safe routes for the robot to follow.

Veterinary hospital database and web application: Developed a database and web application for a veterinary hospital. The application allowed for the efficient storage, retrieval, and management of patient records and appointments. The web-based interface allowed for easy access to the database from any device with an internet connection. Using MySQL and PHP

Management of a car park using a graphic platform and database: Developed a system for managing a car park, including a graphic user interface and a database to store information about the cars and parking spaces. The project involved the use of C#, C/C++, and MSAccess, among other technologies, to implement the system's features. The system was able to accurately track the entry and exit of vehicles, and calculate the total amount to be paid based on the duration of the parking and any discounts.