Projects

Dollar Tracker

Invented innovative solutions through user research, identified pain points, and strategized feature enhancements.
Iterated prototypes for key features of smart due clearance, goal tracker, and smart task tracker, incorporating user feedback.
Crafted product documentation through quantitative analysis, including user personas, user journey maps, product roadmap, feature specifications, and go-to-market strategies to ensure clarity and alignment towards product with market entry plan.

Tap Fare – MBTA

Crafted a comprehensive project proposal with industry research, detailing a strategic roadmap for developing a user-friendly and efficient transit mobile application in the travel industry, emphasizing customer research and product management principles.
Executed project management approach, utilizing Gantt charts, P&L management, RACI matrices, and Kanban to schedule and track tasks, and optimize workflows, leading to 25% reduction in project delivery time and 10% increase in success.

US Airline Sentiment Analysis Using Tweets

Implemented Logistic Regression model for sentiment analysis, achieving 85% accuracy, conducted statistical analysis and information extraction to optimize data pipeline, resulting in a 40% reduction in data processing time.
Analyzed predictive model using Python to perform sentiment analysis by identifying negative sentiment reasons and predictive words, and obtained 92% overall model accuracy using Decision Trees, KNN, Random Forests, and neural networks.

Blood Donate Application

Conducted UX research to develop user stories and customer personas, storyboarding, which includes identifying design solutions to build a unified customer experience.
Led front-end app development efforts, improving UI and integrating Google Maps API for location tracking, used Java for backend, resulting in a 30% boost in customer engagement with 10% decrease in loading time.