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Research Assistant

California State University, East Bay • Sept 2023 – Present

Using Utility-driven Clustering for Analyzing U.S. Prescription Drug Expenditure

• With prescription drug expenditure rising annually, this research aims to optimize healthcare resource allocation and guide policy decisions for cost reduction.
• Wrangled 500K+ records, applied dimensionality reduction and utility-based clustering to understand national spending patterns.
• Identifying cost-saving opportunities that could reduce drug expenditure by ~5%, offering insights for targeted policy reform.

Using LLMs to Understand the Impact of Epilepsy Disclosure or Concealment on Workplace Outcomes

• Analyzed 540K+ Reddit discussions using NLP, sentiment analysis, and Large Language Models to uncover workplace struggles among individuals with epilepsy.
• Performing hypothesis testing to compare the consequences of disclosure vs. concealment in professional environments.
• Initial Findings revealed that 67% of users reported difficulties due to inflexible policies and lack of workplace adjustments.

Data Analyst

California Department of Public Health • Sept 2024 – Dec 2024

• Replaced manual data extraction with an AI-powered solution using Power Apps, achieving 95% accuracy and saving 10 hours per week.
• Developed the team’s first SQL database with 30+ tables and migrated Excel-based datasets into ETL pipelines to enable scalable public health analysis.

Data Analyst

Essilor Luxottica – Oakley • May 2024 – Aug 2024

• Built Power BI dashboards to replace Excel reports, saving $150K annually and improving warehouse monitoring for leadership.
• Improved a backorder AI model by applying feature engineering to 1TB of ATP data, boosting prediction accuracy by 25% and reducing stockouts by 6%.

Senior Data Analyst

Thryve Digital Health LLP • Mar 2021 – Aug 2022

• Resolved 50+ critical COBOL-based pricing bugs, cutting revenue leakage by 8% and saving ~$80K annually through early detection of claim errors.
• Reduced manual rework by identifying root causes in claim eligibility logic across 30 legacy programs.

Associate Analyst - Mainframe

Cognizant Technology Solutions • Nov 2015 – Feb 2021

• Optimized a CPU-intensive DB2 batch job, reducing runtime from 58 minutes to 30 seconds and saving $150K+ in mainframe costs.
• Engineered ETL workflows using Informatica CDC on IMS DB, cutting data latency by 60% and streamlining batch processes.
• Lowered post-release defects by 20% by proactively flagging issues during peer reviews.