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University of Toronto
Data Scientist
June 29, 2026 – Present
Deep-Learning-Nanodegree-Projects
March 13, 2022 – January 1, 2024
This a repo for the projects I completed during my Deep Learning Udacity Nanodegree.
View ProjectFull-Robotic-Body-with-Textures-and-Animation-PLUS-Medical-Volume-Rendering
March 13, 2022 – March 13, 2022
Full-Robotic-Body-with-Textures-and-Animation-PLUS-Medical-Volume-Rendering — GitHub repository
View ProjectEmbedded-Final-Project---Complete-DMA-Driver
March 12, 2022 – March 12, 2022
Complete Driver for the Direct Memory Address (DMA) Peripheral in the STM32F401CC MCU
View ProjectTraffic-Lights-Control-System
March 12, 2022 – March 12, 2022
A repository for the traffic lights control systems task for Bioelectronics and Measurements Course
View Projectml-final-project
February 8, 2022 – February 8, 2022
ml-final-project — GitHub repository
View Projectnetworking
February 3, 2022 – February 3, 2022
realtime video processing using socket programming
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration in various technical domains, including embedded systems, robotics, and data science. This indicates a self-starter mentality. However, the current experience is limited to personal projects and a single, recent full-time role as a Data Scientist at the University of Toronto, which started in 2026 (future date). This makes it difficult to assess real-world team collaboration or professional work ethic. The diversity of projects (embedded, robotics, ML) suggests a broad technical curiosity, but also a potential lack of focused depth in Data Science specifically, which might impact cultural fit for a highly specialized role without further validation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.