Projects
Dollar Tracker
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Invented innovative solutions through user research, identified pain points, and strategized feature enhancements.
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Iterated prototypes for key features of smart due clearance, goal tracker, and smart task tracker, incorporating user feedback.
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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
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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.
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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
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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.
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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
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Conducted UX research to develop user stories and customer personas, storyboarding, which includes identifying design solutions to build a unified customer experience.
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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.