I am an Honours Bachelor of Science (HBSc) student at the University of Toronto, specializing in Mathematics with a focus on Probability and Statistics. Alongside my major, I am pursuing minors in Computer Science and Statistics. I am deeply passionate about solving practical problems using statistical analysis, machine learning, and data visualization techniques.
During my academic journey, I have completed advanced coursework in fields like Machine Learning, Data Analysis, Statistical Theory, and Software Design. These studies have equipped me with a strong foundation in data-driven methodologies and programming.
I have professional experience as a Frontend Software Engineer Intern at MAYOHR, where I worked with TypeScript, React, and RESTful APIs to develop features that improved user efficiency. Additionally, I utilized Python for frontend testing, streamlining integration and enhancing overall troubleshooting processes.
My project portfolio includes an analysis of Toronto crime patterns using Bayesian logistic regression, developing an app for managing NBA statistics with Java and Python, and forecasting U.S. presidential election results using regression models. I also conducted a detailed examination of shelter trends in Toronto, highlighting key seasonal demands.
I am proficient in Python, SQL, R, TypeScript, JavaScript, and Java, with experience using tools like Tableau, Power BI, and Quarto. I hold the Google Data Analytics Professional Certificate, underscoring my skills in data cleaning, analysis, and visualization. Beyond technical skills, I have honed my organizational and problem-solving abilities through leadership roles and collaborative projects.