Deployed Deep Learning models (LSTM, CNN) to predict cardmember spending behaviours, increasing offer redemption by 18% and
driving $3M in incremental revenue
Led the end-to-end development of a proprietary Merchant Affinity Score (MAS) using Gradient Boosting algorithms (XGBoost,
LightGBM) and customer transaction patterns, generating $1.5M in additional merchant spend
Partnered with data engineering team to optimize ETL processes in Merchant Offers Data Lake using Apache Spark, cutting pipeline execution time by 50%
Spearheaded deployment of a Scalable Machine Learning Pipeline (SMLE) on AWS Sage maker, reducing inference latency by 40%
for real-time personalization of 20M+ card members
Detected and blocked over 10,000 fraudulent transactions using a robust Fraud Detection System (FDS) for DiMO Offers, leveraging
Anomaly Detection and real-time streaming, while maintaining a false positive rate below 1 in 50 transactions
Northwell Health (January 2023- December 2023)
Performed Data Collection, Feature Engineering, Data modeling, and Visualization of budget and forecast data in python, utilizing
K-Means Clustering to segment patient care cost patterns reducing ~$220K resource allocation discrepancies
Discovered High Utilizer Patients Report using SQL and Power BI reducing hospitalizations by 30% detecting ~200 patients at risk of
readmission through the monitoring system
Scrutinized large Medicaid insurance claims datasets in RStudio, applying Generalized Linear Models (GLM) to develop optimized
pricing and risk management strategies, Leading to a reduction in annual losses by 35%
Flexote IT Solutions (December 2020- August 2021)
Collaborated with cross-functional teams to develop and deploy InsightMax analytics suite boosting system performance and increasing
user adoption by 10%
Leveraged SAS for customer data analysis and predictive modeling, contributing to the development of Salesforce Service Cloud features
like automated customer support workflow led to 20% increase in customer satisfaction scores
Utilized Bayesian A/B testing, regression analysis, and machine learning models to optimize Subaru's Connected Vehicle features,
leading to increase in user engagement across the STARLINK platform, impacting over ~50,000 users
IBM (June 2019- May 2020)
Created custom sales performance reports using IBM Cognos Analytics for Reliance Retail, enhancing insights into regional sales
growth and top-performing products, optimizing sales forecasting accuracy by 15%
Designed SQL queries to extract defect rates and milestone adherence, for the IBM Watson AI using IBM DataStage and Db2, resulting
in the resolution of ~50 critical defects and a 15-day refinement in meeting deadlines