Participant in the LISC, Massachusetts, Digital Growth Accelerator - A Social Impact Consulting Competition in partnership with the iXL Center- Competing against 30 teams to develop strategies for assigned clients, delivering 5-minute presentations to client and cohort at end of each week- Conducted financial and digital assessment of facilities and general construction client to identify opportunities for 2x revenue growth- Executed in-depth market analysis to identify competitive advantages and recommend strategic improvements for client offerings- Performed weekly stakeholder interviews to discover insights into business operations and identify opportunities for growth and digital transformation- Spearheaded the digital transformation for general construction client by evaluating advanced project management, payroll, and digital sales & marketing tools- Developed comprehensive action plans and Gantt charts to ensure timely implementation of new digital solutions across various phases

- Building prototype of customized voice AI solution for dental clinics using Rounded's proprietary voice agent infrastructure, focusing on enhancing practice efficiency and patient experience- Conducted comprehensive market research across various industries to identify optimal verticals for voice AI product development, ultimately pinpointing dental clinics as a high-potential, untapped market for implementation- Engaged with industry stakeholders through interviews to gather insights and validate potential use cases for voice AI applications

Working with Professor David Levine, the Chair in Business Administration at the Haas School of Business, in developing an AI chatbot application designed for aiding community health workers in low-income and middle-income countries.- Built a working prototype that leverages OpenAI's GPT model, engineered to provide community health workers with the most relevant questions to ask patients, necessary physical examinations to conduct, potential diagnoses and detailed treatment plans based on the worker's input- Implemented a Pinecone database to vectorize and store our documents, facilitating Retrieval Augmented Generation (RAG) for enhanced chatbot performance- Designed a data preprocessing pipeline that transforms raw medical texts into a structured format suitable for our model using SpaCy and LangChain- Conducted hyperparameter tuning and prompt engineering to optimize and evaluate the chatbot's responses

- Participated in Berkeley Skydeck’s Pad-13 Incubator Program- Researched methods for utilizing advanced machine learning classifiers for identification and segmentation of overlapping chromosomes in microscopic images- Performed market research to identify Cytogenetics applications and delineate customer segments within the U.S.

- Facilitated daily logistics and operations of a 63-person active chapter and led weekly chapter meetings- Managed a $250,000 annual budget, the executive committee chairmen, and streamlined communication between the fraternity members, alumni board, and Nationals HQ- Organized and facilitated over 25 social, recruitment, philanthropy, brotherhood, alumni, academic, and family events

- Helped develop end-to-end ML pipelines for Gobel Group, a Healthcare Philanthropy Consulting firm, which predict the likelihood that a patient donates back to their healthcare provider, built using EHR and CRM records for 20+ million patients in the U.S- Built documentation website using Sphinx for custom Python library “Dataspace” detailing its functionality, features, and code APIs to enhance user accessibility and experience - Managed 20+ machine learning pipelines for clients, involving intricate debugging of Python code that outputted incorrect predictions and/or related data fields on the client-side dashboard- Retrained neural network models to ensure outputs were up to date and accurate

- Tutored and mentored 125 students in core data science concepts such as hypothesis testing, A/B testing, probability, bootstrapping, linear regression, classification, clustering, data visualizations, and debugging strategies in Python

- Tutored elementary school students in mathematics

- Utilized Salesforce Einstein’s data science capabilities to build predictive models that identified customers at high risk of churn and formulated recommendations for increasing customer retention- Designed dashboards using Tableau CRM with dynamic data interaction that conveyed my results to internal stakeholders- Developed a custom image classification application using Einstein Vision that determined the quality of medical devices

Problem: NASA was given a mission to go to the moon by 2024 as a part of the Artemis program using Orion as the spacecraft. In case of an emergency such as a launch abort or contingency landing, the crew will have to exit using a life raft. Each astronaut will be equipped with a distress beacon that can be located. Mission: Design a surface vehicle capable of assisting astronauts in distress in maritime environments through the location and delivery of survival necessities. - Developed financial plan to raise $4000 to cover total project costs through crowdfunding, grant applications, and sponsorships- Created presentation and showcased our SAVER (Surface Autonomous Vehicle for Emergency Response) to Cadence - a leader in Electronic Design Automation