Projects
Welcome to my portfolio! Here, I showcase my data analytics projects, each designed to leverage insights for real-world applications. Dive in to see how I transform data into actionable strategies that enhance experiences in the hospitality sector.
Restaurant Analytics & Forecasting Dashboard
An end-to-end data analytics project focused on restaurant performance, reservation trends, and operational insights using R and Power BI. This project combines predictive modeling, interactive dashboards, and business intelligence reporting to analyze guest trends, cancellations, expected vs. actual covers, and revenue performance to support data-driven restaurant decision-making.
Hypothesis Testing in Healthcare
Pharmaceutical drugs play a vital role in healthcare, making safety and minimal adverse effects essential. In this project, I used Python to conduct statistical hypothesis tests evaluating a hypothetical drug’s adverse reactions and the impact of factors such as age on those reactions.
Incident Predictive Model
A workplace safety analytics project using R and Power BI to predict safety incidents, identify injury trends, and support proactive, data-driven safety planning through machine learning and predictive modeling.
Olympic Perfomance Analysis
Analyzed Olympic athlete data from 1896–2016 using Python to identify trends in medal performance and athlete characteristics. Built logistic regression models to evaluate how factors like height affect medal probability across sports while applying data cleaning, deduplication, and visualization techniques.
