Mathematical Optimization Student at the University of Waterloo
Data Science | Process Improvement | Supply Chain
My name is Jaden and I am a fourth year Mathematics student at the University of Waterloo. I discovered my love for mathematics in high school, and ever since I have been seeking opportunities to develop my skills. I am passionate about applying my talents in impactful ways. Other than math and computer science, I have also been developing my knowledge in project management (Six Sigma), sustainability, and ethics. My hobbies and interests include Martial Arts, Basketball, and listening to music.
Developing analytical tools and features as a member of the Card Decision Science team.
Helped CPG clients optimize their trade spend by identifying opportunities in their distribution, pricing, and promotional strategies.
Modernized the Profit-and-Loss reporting processes for the RMSG desk through automating manual processes, redesigning work flows and enhancing internal reports.
Supported initiatives within the Vendor Loyalty team through analyzing offer performance and consumer trends, presenting insights to executives and external vendors.
Scaled SuperShop through identifying high-potential products/vendors and developing an automated KPI estimation tool.
onstructed an end-to-end pipeline in AWS that extracts and processes reviews from a website using Beautiful Soup, Lambda and CloudWatch, stores it in a DynamoDB table, then sends an email update using SES.
Visit GitHubFormulated a Mixed Integer Program to solve an instance of LinkedIn's "Queens" game, allowing users to solve it using a Streamlit Interface.
Visit WebsiteUtilized Pandas and Scikit-Learn to train a Random Forrest Classification model to predict churn, utilizing the results to identify customer trends and propose a multi-channel marketing strategy.
See OverviewImplemented an Integer program to solve sudokus using Google's OR-Tools library. Utilized the solver in a sudoku web app built using JavaScript, Flask and Bootstrap.
Visit WebsiteDeveloped the backend for a journaling and reminders website by creating a model that recommends habits based on user prompts, creating a REST API using Flask that preformed CRUD operations and handled login requests, and automating sending email reminders to users.
See Overview Visit WebsiteUtilized HuggingFace's XLNet NLP model to create a medical document classifier, as a part of the Intact challenge at CxC Data Hackathon 2023.
See OverviewAnalyzing NBA player statistics over 43 years using SQL and Tableau, and writing an article about my findings.
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