This project analyzes a dataset of 120 psychology patients with 17 symptoms to explore patterns in mental health diagnoses. Using Google Sheets for cleaning, R for statistical modeling, and Tableau…

An analysis of school shootings in the USA from 1990 to 2024, focusing on key trends, severity, and geographical patterns. This project includes data cleaning, visualization, and insights to inform…

Config files for my GitHub profile.

This project analyzes an eCommerce funnel using Google Sheets, R, and Tableau. The goal is to identify user drop-offs, optimize conversion rates, and provide data-driven insights for improving the …

This case study explores adding a chatbot to Fidelity's app to enhance user engagement and financial literacy. Inspired by AI innovation, it reflects my passion for creating impactful user experien…

This case study aims to showcase my entire UI/UX design process for redesigning a local skincare business who aims to drop their new skincare line in 2025/2026. My goal is to provide a redesign bef…

MindfulMe is a mental wellness application inspired by my time working as a mental health tech while studying psychology during my undergrad. This app aims to provide wellness and mindfulness for u…

This case study showcases my role in enhancing the onboarding process for a FinTech AI-powered SaaS platform's chatbot tool, focusing on improving user engagement and streamlining the experience.

UI/UX design screens of app ideas I’d love to use, showcasing my process from research to prototyping, with a focus on intuitive digital experiences.

Analyzing health trends to predictive patients with diabetes. This project covers data preprocessing, feature engineering, model building, and evaluation using a real-world healthcare dataset.

This project analyzes Bitcoin trends, volatility, and trading volume (2014–2022). It highlights KPIs like highest and lowest prices, average yearly changes, and trading volume trends. Visualization…

Analysis of breast cancer recurrence using R, Tableau, and Excel. This project visualizes factors like age, tumor size, and treatments affecting recurrence rates, leveraging a Kaggle dataset. Disco…

Using machine learning and data analysis to predict medical costs based on demographic, behavioral, and regional factors. Includes exploratory data analysis, feature engineering, predictive modelin…