Sep 2020 – Dec 2020 · 3 mos

Jul 2018 – Sep 2020 · 2 yrs 2 mos

• At Amazon Global Selling, I worked on building a product that helps sellers expand their inventory to international marketplaces by providing dynamic pricing to accommodate same net profits on click of a button.
• I've also worked with Amazon Global Logistics on financial automation to audit invoices provided by third party service providers to Amazon for payments.
• Currently, I'm working on a project that will provide Sellers expand their international inventory by enabling hassle free international shipping from China to American/European Fulfillment centers without having them worry about Customs/Compliance.

May 2017 – Jul 2017 · 2 mos · Hyderabad, Telangana, India

• I worked with Amazon Global Selling (AGS) - Tech. At AGS, I built the Prototype of a Seller Pricing Model Based Price Calculator Tool. The Tool allows a Seller to create custom costs incurred by them to sell their inventory, create a custom Pricing Model to compute their item prices automatically and in an optimal way based on the customized seller costs, associate Pricing models to SKUs and automatically determine Item Prices, Sale Proceeds and Fee etc.
• To know more about Global Selling at Amazon , check the media.

Jun 2016 – Jul 2016 · 1 mo · Gurgaon, India

• My main focus was on building the Collaborative Recommender System . I studied the paper by Deshpande and Karypus (2004) which was based on Top-N Filtering Algorithms and measured the problems which could be encountered on the specific e-commerce (furniture related), worked on methods to avoid it and then programmed a django version of the same.
• I also built a web application that determines the social media sentiment analysis by studying their tweets. Here I made use of two APIs - tweepy (twitter API for python) and sentiment-analysis API (which scores the sentiment by studying the text).