Toronto, ON

Brad

Ramnarinesingh.

CS, Mathematics & Statistics
University of Toronto

Selected WorkResume
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I'm studying Computer Science, Mathematics & Statistics at the University of Toronto — building things at the intersection of machine learning and clean interfaces.

My projects span NLP classifiers, predictive ML models, and responsive web applications. I care about both how code works and how it presents — the technical rigor and the detail.

Currently open to internships and co-ops where I can contribute technically and grow quickly.

University of Toronto

Honours Bachelor of Science, Major in Computer Science; Minors in Mathematics and Geospatial Data Science

Toronto, ON

2021 – Present
ProgrammingData Structures & AlgorithmsSoftware EngineeringProbability & StatisticsSpatial Data Analysis

King & Heartlake / Tav Schembri Real Estate

IT & E-Commerce Specialist

Caledon, ON

Jan 2025 – Present
  • Built and edited Shopify storefront sections to improve layout, product presentation, and overall site usability.
  • Cleaned and organized large SKU and barcode datasets, matching supplier product data to inventory templates.
  • Set up Shopify POS hardware and software, including POS Go terminals, iPads, scanners, and receipt printers.
  • Created troubleshooting guides and provided day-to-day IT support for devices, retail systems, and web tasks.

Peel Hardware and Supply

Sales Associate

Caledon, ON

May 2023 – Jan 2025
  • Improved inventory organization and stock accessibility across the sales floor and storage areas.
  • Helped customers by answering product questions and recommending suitable hardware and supply solutions.
  • Supported daily operations through merchandising, restocking, inventory handling, and team collaboration.

Languages

PythonJavaJavaScriptHTML / CSS

Web / Technical

ReactFrontend DevelopmentResponsive DesignShopifyWordPressShopify POS

Tools / Libraries

GitVS CodePyCharmVercelTensorFlowScikit-LearnPandasMatplotlibNLP / TF-IDF

Open to
opportunities.

Internships, co-ops, or anything interesting. If you're building something worth talking about, I'd like to hear from you.