- Defined an org-wide metric to measure the quality of engagement usingdecision tree classifier and identify key drivers of higher engagement on aTeam Collaboration App. Every 1% increase in the metric translated to 0.25M healthy retention in usage. Identified drivers along with their success ratioswere benchmarked and promoted as best practices across the organization.- Developed an accurate forecasting model to predict the daily volume of casesflowing into and moving out of distribution centers using an ensemble of timeseries models (Prophet, SARIMA, Holt’s Winter) and LSTM RNNs that gaveaccuracies > 87% at a daily level. The forecasting model was used to solveproblems such as workforce planning and capacity planning at the retailer’sdistribution centers of a US-based multi-national retail corporation- Contextualized feature usage and adoption opportunity through a metric byconnecting admin actions (block, allow, pin & install) to app usage of a TeamCollaboration App. The metric alongside the framework helped discern never before explored admin usage patterns, stakeholders were able to identifyan additional 20M opportunity laying the foundation for future growth experiments

• Successfully implemented a fully automated CI/CD pipeline for manualroutine scheduled tasks using Jenkins, increasing the efficiency to processdata by 33%• Performed assessments on large complex data sets using data analysissoftware SQL server studio and review data sources, data pipelines, dataarchitecture, existing code stacks, etc.•Led the migration of an application from on-premises servers to AWS,resulting in improved scalability, reliability, and cost-efficiency.• Manipulating and analyzing complex, high-volume, high-dimensionality clientdata from various sources to highlight patterns and relationships in an agileenvironment.• Worked on migration scripts and SQLs to migrate data from DB2 tablesto Oracle tables using SQL loader and performed ETL using tools likeInformatica.• Conducted database performance tuning and implemented queryoptimization techniques.• Draft monthly Budget and Forecast distribution for future performanceusing advanced MS Excel data analysis functionality and identify the risks &opportunities.• Creation of an entire database refresh model to copy data between crossenvironments.• Writing shell scripts and Python scripts to automate various tasks.• Collaborated with cross-functional partners to understand their businessneeds, and formulate and complete end-to-end analysis that includes datagathering, analysis, ongoing scaled deliverables, and presentations.

Published 3 research papers in international journals.Thesis: Optimization and Predictive Modeling of Electro-Discharge Machining Parameters using R.

Worked on mathematical model analysis of Aluminum-based composites used in aerospace applications. Prepared technical analysis report of the derived experimental results toidentify the parameter enhancement.