I am a software engineer and data analyst with a strong foundation in computer science and mathematics, currently pursuing my B.S. at NYU. My experience spans developing user-centric software applications, performing data analysis for actionable insights, and driving business growth through strategic partnerships.
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FairShare is an app inspired by the challenges of splitting bills accurately during group dining experiences. It ensures precise division of costs, including taxes and service charges, using a combination of React Native for the frontend and advanced technologies like Firebase, Google Cloud, Azure Form Recognizer, and OpenAI for the backend. Despite facing challenges in maintaining data accuracy across varied receipt formats, the team successfully created a user-friendly interface emphasizing simplicity and reliability. Moving forward, FairShare plans to enhance user convenience by integrating nearby user detection, digital payment options, and machine learning to improve OCR efficiency.
View on GitHubThe project focused on conducting a comprehensive data analysis for a cab company to enhance investment returns. Using Python, the analysis involved gathering and examining data on market trends and competitor strategies to support informed decision-making. The project also included developing data visualizations to clearly convey insights to stakeholders, leading to the identification of high-yield investment opportunities that maximized the company's financial returns.
View on GitHub