At Greyhound Recycling, I built and deployed an urgency classification system that cut average complaint resolution time by 45%. I also deployed a production machine learning system that reduced monthly customer churn by approximately 6% relative.
Previously, I developed analytics solutions at PricewaterhouseCoopers (PwC) India and LTIMindtree, including a Python rail-wagon planning solution that reduced monthly logistics costs by 12% and a Neo4j network science solution that reduced manual case investigation time by approximately 80%. I also created a fraud decision platform and machine learning projects for customer satisfaction and exploratory data analysis.
