At Bill Gosling Outsourcing, I analyzed and audited automobile loan files, helping ensure accuracy, compliance, and fraud prevention. I also coordinated with dealerships and lenders to verify applications, cutting processing delays by 25%.
During my Business Analyst Internships at The Sparks Foundation and Codsoft Internship, I analyzed student performance and customer data. I used Python to build a linear regression model and applied K-means clustering to identify customer segments.
As a Data Science Intern at CodeClause, I created a real-time color detection system using OpenCV and Pandas, and visualized color data with Matplotlib. I also developed customer segments with K-means clustering, contributing to a 15% increase in targeted marketing effectiveness.
My work at TELUS International involved researching and evaluating information to improve digital map content and quality. In academic projects, I used Qualtrics and chi-square analysis for airport research, and built Tableau dashboards for six KPIs in the Real Canadian Store project.
