Developed an LLM-based diagram generator that converts system design prompts into Mermaid.js flowcharts
Built a Streamlit tool that simplifies content creation for technical case studies using GPT-4 and prompt chaining
Authored and edited case questions spanning product analytics, supply chain, SaaS metrics, and growth strategy
Collaborated closely with PMs and senior content creators to streamline visual storytelling and technical clarity
Data Analyst (Practicum Project)
Owens Corning
August 2024 – June 2025
As part of the UC Davis MSBA practicum, partnered with a global materials innovation company to build a Retrieval-Augmented Generation (RAG) system leveraging generative AI to streamline internal knowledge access and decision-making.
Conducted varied-level question testing to identify gaps in the chatbot's capabilities, revealing instances where it hallucinated values not present in the database.
Debugged chatbot responses through manual SQL query testing, uncovering redundant columns that distorted outputs and contributed to misleading responses.
Implemented an embedding-based vector database, improving query classification and enabling more accurate response retrieval.
Optimized a Streamlit-based interface, enhancing user interaction and visualization for AI-powered insights.
Graduate Student Analyst
University of California, Davis
September 2024 – April 2025
Supported the Career's Team of the Graduate School of Management to organize multiple workshops and panels
Enhanced student participation and engagement by 25% via proactive feedback, by leveraging data to work on initiatives related to the student experience, program outreach, market intelligence and analytics.
Associate Consultant
KPMG India
January 2022 – June 2024
Directed strategic collaborations with Southeast Asian & Middle East Telecom Companies, specializing in Revenue Assurance & Fraud Management, reducing fraudulent activities by 18%
Conducted comprehensive data validation on Revenue Assurance datasets using SQL, Python, and advanced Excel techniques, identifying and correcting inconsistencies to improve data accuracy and integrity, reducing billing discrepancies by 15%.
Monitored frameworks for risk and control functions and evaluated the control environment through automated alarms on the Subex RAFM platform, reducing 500 man-hours per month, saving around $25,000 monthly
Achievement: Received the Kudos award, for supporting Team members with selected proposal building activities & ad-hoc assignments, with the added ability of multi-tasking
Project Intern
Neurosensum
November 2021 – December 2021
Collaborated with a 12-member interdisciplinary team to design and execute research timelines for EEG and Eye Tracking projects, contributing to 5+ concurrent studies across CPG and media sectors.
Processed and analyzed behavioral data from over 1,200 consumer sessions using Myndsight (EEG + Eye Tracking), uncovering attention patterns tied to marketing KPIs and subconscious product perception.
Leveraged eye-tracking metrics to redesign shelf layout for a CPG client, leading to a 25% increase in product recall based on pre/post exposure tests conducted with simulated store environments.