Vinmathi Iyappan

Experience

• 

  Cognizant

  Nov 2015 - Feb 2021

  •Involved in multiple enhancement •Automated processes in the application to avoid manual intervention and to notify the client viaemail•Performed Root cause analysis for both Test and Production bugs/issues•Worked on the feasibility analysis to migrate the applications from Mainframes• Interacting with the client on requirements gathering, code walkthrough and status reporting• Performed performance tuning to improve the performance•Interacting with other support teams like DBA, production services, and storage management for issueresolution• Providing feasibility analysis and estimates for the new project requirements• Preparing design, testing, and evaluation documents, test cases, and test logs• Involved in the execution of manual test cases and review of test defects logged by team members• Handling process and quality audits Show less

  • Associate

    Apr 2019 - Feb 2021

  • Programming Analyst

    Nov 2015 - Mar 2019
• 

  Thryve Digital Health LLP

  Mar 2021 - Aug 2022

  Senior Data Analyst

  •Proactively identified and resolved a critical initialization issue in 30 programs, preventing claim rejections under special conditions. This resulted in a significant reduction of 30 tickets, contributing to resource savings and increased customer satisfaction.• Strategically enhanced the pricing module by conducting in-depth data analysis and engaging in collaborative discussions with stakeholders, which addressed critical data handling issues from a new project and resolved over 50 high-priority tickets.• Led a collaborative team of 4 through major project releases, achieving 100% on-time project deliveries and demonstratingeffective leadership and project management skills.• Successfully navigated health insurance claims adjudication processes, ensuring meticulous review and timely resolution to facilitate accurate reimbursement and optimal client satisfaction. Show less

• 

  California State University - East Bay

  Oct 2023 - now

  Title: Using Utility driven clustering Analyzing United States 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 spending patterns.•Discovered distinct prescription patterns, along with regional and disease-based trends, highlighting policy complexities. Identified cost-saving opportunities that could reduce expenditure by 5%.Title: Using LLM to understand the Impact of Epilepsy disclosure or concealment on Workplace Outcomes•Analyzing 540K+ reddit forum discussions to understand workplace-related struggles of individuals with epilepsy using Natural Language Processing (NLP), sentiment analysis and Large Language Models (LLMs).•Performed hypothesis testing to explore the consequences of disclosure vs. concealment of Epilepsy in workplace.•Workplace stigma is a major barrier and 67% struggles with inflexible workplace policies and lack of adjustments. Show less

  • Vice President of Sky Meditation Club

    Aug 2024 - now

  • Research Assistant

    Aug 2023 - now

  • Student Assistant at Deans Office

    Mar 2024 - Aug 2024

  • Women in Leadership Associate 2023 -2024

    Oct 2023 - May 2024
• 

  Oakley

  May 2024 - Jul 2024

  Data Scientist Intern

  • Achieved an 8-hour/week time savings by delivering a business intelligence report for the Warehouse using Power BI.• Performed feature engineering for backorder prediction and applied machine learning models for clustering and time series analysis, utilizing SQL queries and Python scripts for data extraction, preparation, and analysis

• 

  California Department of Public Health

  Sept 2024 - Dec 2024

  Data Scientist Intern