During this internship, I validated dashboards in Looker Studio using SQL queries to ensure data accuracy, designed and built dashboards with BigQuery to display key performance indicators, and implemented PGP encryption in Java to securely decrypt incoming files for updating consumer information.

I enhanced front-end and back-end features for two websites using Next.js and TypeScript, developed multiple components and a full page for a CMS-based site, and added functionality to download recordings from the database for a REST API-based site.

During my internship, I redesigned the data persistence method for Tremoflo software so it uses in-memory JSON, optimized transmission by compressing data, and developed a PoC Windows service in Delphi to communicate with a medical device. I also designed a mechanism to transfer data for further analysis.

This Python-based Match Predictor employs various classifiers and regression models, trained on FBREF's comprehensive football statistics through meticulous data engineering. The Next.js web client seamlessly interfaces with a Flask backend, providing users with accessible and insightful match predictions.

NHL based games, one is a wordle like game where the user guesses players on the information of each guess. The other game is the user has to guess the player based on the player's career path. This project was made with Next.js and using information from the NHL api.

During this internship, I assisted in the development and the testing of the attributes for the Attribute Engine. Furthermore, I Designed and developed a program that transformed Business Credit Reports into a usable format for other teams to utilize. During this internship, I used and learned GitHub, Python, Jupyter Notebook, Pandas, and Numpy.

The goal of the project is to design a web application that will faciliate the management of gleaning events across Canada. The application will host services for producers, volunteers, gleaning groups, and food bank organizations. This project was made with Java, SpringBoot, and React.

Checkers is a project I made in CEGEP. It is a simple checkers game where a user can play against an AI. It utilizes the pygame library to make the GUI for the game, and the minimax algorithm makes up the AI.

SafeDrop is an extension for Ring doorbell to allow users to receive their packages/deliveries and to pay for customs, fees, tips, e.t.c. The camera detects a delivery driver and opens the interface to pay, view payments. This was made through OpenCV and Node.js.