Projects
Here are a few projects I have done throughout the years. Feel free to visit my GitHub to view more projects!
Adidas US Sales Analysis
Utilized MS Excel and PowerBi
​Analyzed Adidas US sales data to uncover trends, optimize marketing strategies, and identify underperforming products. Utilized Excel for dynamic pivot tables and charts, enabling clear insights into regional and retailer performance, as well as future sales forecasting.
Eye Disease Classification using Deep Learning
Utilized Python
This project aims to develop a deep learning model using Convolutional Neural Networks (CNN) to classify retinal images into four categories: Normal, Diabetic Retinopathy, Cataract, and Glaucoma. The images were collected from various sources, including IDRiD, Ocular recognition, and HRF. The goal is to leverage CNN’s powerful feature extraction capabilities to accurately diagnose these eye conditions based on retinal images.
Customer Spending Habits
Utilized R and PowerBi
​This project aims to analyze the Sales Data dataset to uncover consumer behavior patterns across demographics and regions. By examining factors like age, gender, location, product category, quantity, unit cost, unit price, and revenue, it seeks to optimize sales strategies, improve customer acquisition and retention, and drive profitability.
Workplace Dynamics and Mental Health in the Tech Industry
Utilized R
​This project explores how workplace policies and culture in the tech industry impact employees' mental health and their likelihood of seeking treatment, using data from the OSMI (Open Sourcing Mental Illness) survey. The study analyzes key factors such as mental health benefits, workplace stigma, and organizational support, and applies machine learning to predict whether an employee will seek treatment for mental illness. The goal is to gain insights into improving mental health support in the tech industry.
