Developed an internal education management platform to facilitate part-time work integration within a company. The platform streamlined educational processes and provided an interface for managing educational content.

Created a user-friendly survey management system designed to streamline survey processes and enhance administrative features. This project aimed at improving the efficiency of survey data collection and management.

Automated the creation of documents by formatting data from a database into predefined layouts. This automation significantly reduced manual effort and increased efficiency.

Automated ArcGIS routines that could be exceuted through a batch file.

Created an internal performance analysis system with Excel VBA and Power Query to visualize key metrics over time, making forecasts and enhancing data clarity and helping leaders focus on areas for improvement.

Developed an online automation system using Google Apps Script, Google Sheets, and Google Forms to streamline permit applications and surveys across company branches and departments. The system automatically notifies the responsible leader via email to review and sign documents.

Created a software tool that automatically retrieves the geolocation of addresses using the Google Maps Geocoding API. Integrated into Excel, this tool allows users to quickly obtain geographic coordinates for multiple addresses.

Added new features to a governmental vehicle license plate system by implementing predefined features to improve functionality and efficiency.

Wrote a code for docker containers that run a few tests on a server.

Wrote a code for an API to access data from a database (Excel) using FastAPI.

Developed a machine learning model to predict CO2 emissions from vehicles. This project aimed at contributing to environmental sustainability by providing accurate emission forecasts. The project was summarized in a Streamlit web page.

This project focuses on extracting, cleaning, and organizing ancestry data from a website. The data often contains misspellings and variations in names, making it difficult to process and analyze. By using data science techniques, I aim to resolve these issues and create a clean dataset for better analysis. This is a project in progress.

This project focuses on collecting and visualizing AI-generated images, generated with various artists to categorize them. It utilizes Supabase, an open-source alternative to Firebase for managing both database and storage. The project is deployed using Vercel, a platform designed for seamless deployment of web applications, similar to Google Cloud Run or AWS Amplify Hosting. FastAPI serves as the API backend, enabling efficient data fetching and integration with the Supabase database and storage. The combination of these tools ensures scalability, fast deployment, and easy management of data and images. This is a project in progress.