Python

Product Intern

Interview Query

June 2025 – Present
  • 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
Python

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.
Python

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.
bkash

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
Neurosensum

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.

Phone

(628) 297-7902

Address

(Open to relocation)
San Francisco, California
USA