• Contributed to the development of Operations Management Enterprise Application for both on-prem and cloud scenarios.• Innovated an algorithm to solve a modified pallet-loading problem within 1 minute without reliance on human intelligence

• Developed insights about alarms and operator actions using Machine Learning algorithms.• Improved security of handling user credentials from python code.

• As a Matching team member, contributed to the development of a crowd management system for physical marketplaces.• Developed a scoring-based methodology for slot allocation, considering congestion level, customer fulfillment, shopkeeper fairness.• Developed a real-time sequencing algorithm, to guide customers through their allotted shop-lists when they enter the marketplace.• Implemented shop, customer, order classes with their functionalities.

• Contributed to the development of an intelligent urban bus transit dispatch, control, and surveillance system.• Determined clusters of similar bus dispatch frequency based on maximum link load for each direction for a given public transit route.• Predicted Origin-Destination (OD) matrices and passenger arrival rates for a given public transit route for different periods based on route characteristics, land-use, direction, and season.