Exploring various times series models to predict the number of emergency department in-patient(edip) count based of the historical data provided by San Diego Health.Forecasting the edip for 5 days using Google’s TimesFM model, LSTM and VAE models and comparing the MSE’s to select the best model for implementation.

Streamlined business processes by developing a MERN-based full stack solution for an upcoming product launch in the B2C E-commerce/Jewelry market, utilizing AWS for authentication and EC2 for scalable deployment.Engineered a user-friendly admin portal for the company to manage sales and launch products, leveraging advanced SQL optimizations to accelerate data workflows by 40% thereby improving data management process. Mined and analyzed large dataset of 100,000 to generate… Show more Streamlined business processes by developing a MERN-based full stack solution for an upcoming product launch in the B2C E-commerce/Jewelry market, utilizing AWS for authentication and EC2 for scalable deployment.Engineered a user-friendly admin portal for the company to manage sales and launch products, leveraging advanced SQL optimizations to accelerate data workflows by 40% thereby improving data management process. Mined and analyzed large dataset of 100,000 to generate actionable insights for optimizing product marketing and business outcomes. Performed data cleaning and feature extraction methods to identify key areas to improve sales.Applied advanced statistical techniques and implemented machine learning algorithms for customer segmentation into five geographic groups, optimizing target marketing strategies and increasing sales by 12%. Show less

Led the development of a scalable MUN website, automating key processes to improve accessibility and UX for over 1,000 JO-MUN 2022 participants, resulting in a 40% increase in efficiency.Leveraged TypeScript, React.js, and Firebase to streamline delegate registration, country assignments, resolution submissions, and voting workflows.