Developed an automated end-to-end data pipeline for cross-referencing academic scientific papers.

Implemented a comprehensive ML model using Groq to extract and format citations with an F-score of 93%.

Led a team of tutoring assistants, improving student performance through innovative strategies.

Provided STEM consultation to over 100 students.

Conducted research on 3D Convolutional Neural Networks and Generative Adversarial Networks for dental crown reconstruction.

Proposed a research hypothesis to evaluate the validity of 3D GAN as a technological aid in dental healthcare.

Developed an end-to-end migration of data from Excel sheets to the cloud using MySQL, streamlining data accessibility and scalability.

Implemented a hierarchical data structure for unstructured data as per organizational requirements, enhancing data organization and accessibility, utilizing Power BI and Microsoft Fabric to conduct data analysis and generated insightful reports to support business analysts, contributing to data-driven decision-making within the organization.

Utilized Pandas to conduct market research for an e-commerce start-up at San Diego, developing user analytics and identifying the target demographics to conduct additional analysis.

Designed a hypothesis test to determine apt features for a Multilinear Regression model to predict sales and implemented feature engineering and hyperparameters search to train a learning model, maximizing sales.

Relevant Coursework: Data Structures and Algorithms, Linear Algebra, The Practice and Application of Data Science, Spectral Embedding, Data Mining, Scalable Systems, and Data Management.