In this project, I analysed risk and return patterns across
major tech stocks using Python and Excel, uncovering trends in volatity and performance
from 2015-2023 through visual and statistical analysis.
I explored booking data in Excel to understand why customers cancel
and built an early model to predict cancellations, helping uncover patterns hotels could use to reduce losses.
I created an interactive Power BI dashboard to explore how background factors affect student outcomes, rooted in my own experience tutoring students with different needs and challenges.
Analysed loan data for 40,000+ individuals using STATA and Excel. Built OLS and multinomial logit models to assess how income and homeownership influence both the amount borrowed and the reason for borrowing.