Areez Bhanji

I am a Computer Science student at the University of Toronto and a certified Salesforce Administrator. I have built multiple blockchain projects and decentralized applications as well as machine learning algorithms and neural networks. I also enjoy public speaking and have had the opportunity to speak at a number of events including at Scotiabank Digital Factory and GITEX 2019. In my spare time, I love to read, play chess, and volunteer in my community.

Cloud SynApps - Salesforce Developer (May 2022 - August 2022)

Co-led the development of multiple modules for a Work Order Management System for the Region of Peel’s 311 Service; the main areas of focus were service fulfillment and pricing. Captured functional and technical requirements to build and prioritize a software backlog. Created and ran test cases in the development environment. Hands-on training for Agile Delivery (Scrum, Kanban). Successfully completed the Salesforce Admin Certification.

STEM Seed - Programming and Math Lead (March 2020 - August 2021)

A not-for-profit organization providing STEM education to those with less access. The curriculum includes math, VEXrobotics, programming, and public speaking. Coached and mentored individual and group sessions in the areas of math, programming, and public speaking. Collaborated with peer tutors and program directors in defining, designing, and delivering quality learning opportunities to students.

Microsoft - Product Manager Intern (June 2019 - September 2019)

Member of the Microsoft Platform product team working PowerApps, Flow, and Power BI. Designed, developed, and piloted an inventory management application for internal use within Microsoft. Assisted in identifying, prioritizing, maintaining, and executing the backlog and roadmap using a data-driven approach. Provided input on decisions with respect to product feature prioritization, requirements, and feature scope.

University of Toronto - Faculty of Arts & Science
BSc, Computer Science
Sep 2022 - Apr 2026
1st Year
I'm currently working with complex data in Python, as well as gaining experience with cryptosystems and algorithm runtime analysis. I'm also learning about modular arithmetic, number theory, and proofs.
Course Highlights:
Foundations of Computer Science
Calculus With Proofs
Cryptology: The Mathematics of Secrecy and Security