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Snapdeal establishes its data sciences center in California

Snapdeal establishes its data sciences center in California
One of the India’s leading online market-place, Snapdeal has set up its Data Sciences Center in San Carlos, California. The eCommerce company’s objective behind this step is to on-board top global talent that would help the company in building high-value solutions and developing a high impact growth strategy. Data scientists hired by Snapdeal so far are from global brands that include Groupon, Google, Yahoo and Amazon. The data sciences team is headed by Nitin Sharma, senior vice president, data sciences. With the help of this new center the ecommerce brand will now be able to focus more on big-data and advanced analytics for adding to its consumer-centric initiatives. Now, with the help of data driven algorithms, data analytics and predictive modeling, the business strategy of the company will get a new & better shape along with the optimization of operational efficiency. While commenting on this development, Rohit Bansal, Co-Founder, Snapdeal said,
“We have set up a Data Science engine in California, which is home to domain talent, to further augment our efforts in creating a superior customer experience and strengthen our supply chain. Snapdeal is extensively working on data mining through an existing analytics team. Under Nitin’s leadership the data science team will focus on elevating Snapdeal’s growth-focused strategy and to provide insightful guidance. The richer understanding of the customers by capturing and integrating the information on their buying behavior will drive habit commerce and is in sync with our vision of 20 million daily transacting users by the year 2020.”
On this Nitin Sharma, Senior Vice President, Data Sciences at Snapdeal added,
 “We have a highly accomplished team which can distill key patterns, consumer preferences and hidden correlations by quickly analyzing huge quantities of data. We will bring fresh insights to the existing work and will enhance customer experience through better planning and forecasting.”
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