Product Internship

Snapdeal 

Developed logistic solutions to mitigate RTO, while analyzing customer, seller, and product aspects through data-driven insights

• Developed a logistic model to mitigate the Return to Origin (RTO) and analyzed factors at customer, seller, and product levels

• Analyzed the data for quick-buy orders by using Charles, and found an increment of 9% in RTO data for address type based on timings

• Recorded a maximum of 5% increment in RTO by a combination of device, subcategory, address type, and order timings data

01 May 2019 - 16 Jul 2019


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