- Led a team as a Junior Data Scientist in a project aimed at optimizing EV charging station placement using geospatial analysis techniques through Python (GeoPandas).- Implemented unsupervised learning algorithms such as K-Means and DBSCAN to identify types of locations for charging stations. - Developed a Deep Reinforcement Learning model to optimize charging station placement in the city of Monterrey, Nuevo León.- Managed project planning, timelines, budgets, and stakeholder requirements, to ensure successful project completion on time and within budget.

- Development of a Computer Vision model in TensorFlow for smoke and fire detection with an accuracy of 99.82%. Integration of the model with an OpenCV script that can be used for real-time predictions using drones.- Development of a Random Forest wildfire risk zone prediction model with geospatial data in Google Earth Engine.

- Led the development of a chatbot using Amazon Web Services and Twilio to empower citizens to report human rights violations via WhatsApp.- Communicated with the Director and collaborated with consultants to design and plan the project, ensuring that it met the organization's requirements and capabilities.- Implemented a solution through AWS Lex and AWS Lambda, resulting in increased chatbot functionality.- Utilized the Amazon Web Services SDK for Python to create, manage, and test an AWS DynamoDB database, providing efficient and scalable data management of chatbot usage.- Set up and managed the organization's Twilio account, connecting its API to AWS Lex, to ensure seamless integration of chatbot functionality through WhatsApp.