• Worked on remediation efforts for vulnerabilities identified with Financial Analytics data infrastructure and governance identified during external audit for SOX compliance.
• Streamlined Snowflake data architecture using DBT, Git version control and DDC.
• Migrated all Financial reports from Tableau to Mode, improving efficiency by ~70% and Git controls.

• Led a diverse portfolio of BI and ML solutions related to catalog abuse, audit operations, collaborating with multiple stakeholder teams to drive key business initiatives; product decisions; defining goals and strategies.
• Acted as the lead BIE SME for four different programs in the Abuse Prevention space providing ML solutions,automated end-to-end pipelines and data driven insights.
• Led and managed a team of engineers, analysts and interns to deliver impactful BI and data science solutions involving sales analytics, financial impact cost estimates and deep dive analyses supporting the day-to-day operations for multiple abuse prevention programs using AWS tools like Redshift, ETLM, DynamoDB, EMR, QuickSight, Cradle etc.
• Led the technical framework for the launch of two major program initiatives – Discovery Abuse and ASIN Demotion Service (Prevented OPS loss of ~$90M per month)
• Developed an NLP based ML pipeline to analyze incoming seller appeal invoices generating yearly s

• Developed a financial data analysis model to determine patient eligibility using classification methods.
• Achieved a 10-fold increase in performance efficiency and >98% decrease in run time, by automating custom Weekly Enrolment and Discharge reports using Postgres and Python (Pandas, boto3, Xlsxwriter, io etc.), in turn cutting down the manual work involved by >95%.
• Successfully automated analytical and data pipelines, internal and external reports implementing process and query optimization techniques.
• Successfully automated ETL pipelines for more than 50 health plan partners on AWS SQL Server using SQL and SSIS, ensuring data quality by implementing control checks and audit procedures.
• Designed an end-to-end data migration model to match legacy insurance claim and patient identification records following CMS's initiative to move away from an SSN-based identification for insurance claims. The migration model uses robust criteria in matching HICN to MBI to avoid duplicati

• Led a research project to identify student's career choices in STEM under the guidance of Director of Data Science Institute at MTSU.
• Designed an analysis framework to determine factors contributing to a student's major choice by designing a survey and performing Exploratory Analysis, Sentiment Analysis using NLP, PCA, Correlation Analysis, Regression analysis and Path Analysis modeling using SPSS, SQL, Python.
• Tutored Undergrad students in Statistics and Data Science courses.
• Other responsibilities include assisting in designing curriculum for several Python and Data Science courses, grading examinations and mentoring statistics, math and business students.

Established a public speaking platform to showcase technical inventions and advancements in the field with an incubation center helping young adults write and publish their work to major publications including IEEE along with workshops to encourage more students to pursue a STEM education.

Designed and managed a website for OU ECE Alumni Association and improved website engagement using A/B testing techniques.
Tools: HTML, CSS, R, A/B testing

Received the Exceptional Engineer award for my work on improving Wireless Signal Strength of Satellite receivers.
Tools: R, Data Analysis, Data Visualization.

Designed, built and programmed a DTU to enable storage and processing of real time data for performance metrics of PIC Micro controller.
Tools: SQL, MATLAB, Data modeling, Signal Processing, Image Recognition, Excel