UX.UI Projects: series of projects focusing on the FULL UX Cycle (Discovery, Definition, Development, Delivery)
Problem: As a caregiver, organizing medical records became crucial. Growing document piles required larger binders. 70% of Americans with chronic diseases struggle with secure storage.
Solution: Create a "digital binder" app to store, sort, and share documents with physicians. The app bridges the gap between secure digital storage and real-life health improvement.
Problem: Enchanted Sweeps, a web-based sweepstakes company, faced challenges with their outdated website, including complex login/registration, lack of online identity, confusing task flow, and a dull aesthetic, hindering their credibility and competition.
Solution: A captivating website redesign that truly embodied their "enchanted" identity. The revamp simplified registration and login processes, ensuring seamless account creation and game initiation.
Problem: Infinite Frontier, a mobile game, suffers from an antiquated interface design that fails to captivate and allure users with its lackluster visual appeal.
Solution: The user interface was elegantly redesigned to encompass a modern and sleek design that vividly manifested the brand identity and provided crystal-clear understanding of the game's objectives.
Design Challenges: series of projects focusing on a specific phase of the UX Cycle.
Data Visualizations: series of projects focusing on data analysis and data visualization.
Data Visualization & Machine Learning
Navigating the complexity of predicting housing prices is a common challenge, making it hard for individuals to make informed real estate decisions. I Created a user-friendly tool that predicts and visualizes US housing prices using data analytics and machine learning, simplifying decision-making for users.
Data Visualization & Machine Learning
With over 100 episodes in the series, selecting enjoyable ones can be overwhelming for viewers. Using data analysis, I aim to predict which episodes you'll like and identify the character most likely to have said your favorite quote.
Data Visualization & Machine Learning
Web app that uses machine learning models to predict the likelihood of a bank approving a loan based on user inputs such as gender, age, education, employment status, and other relevant factors.
