Jul 2020 – Apr 2022 · 1 yr 9 mos · Gurgaon, Haryana, India

Sep 2018 – Jul 2020 · 1 yr 10 mos · Gurgaon, India

Aug 2016 – Sep 2018 · 2 yrs 1 mo · Gurgaon, India

• Working as a Senior Analyst in the Data Sciences team at Cvent so as to leverage the power of statistics and to improve business efficiency and revenue for the organization.
• 1)Standardized and automated the process of product recommendations provided to Cvent’s clients by developing a technological platform. The actionable insights from the platform directly influenced annual revenue by $1.5 million. I created this recommendation model in R using predictive techniques of Logistic Regression.
• 2)Developed Planner Segmentation model to segregate planner’s on Cvent’s network into distinct clusters. This resulted in 6% organic business growth on the Cvent’s network by strategizing differently for different planner clusters. Planners were segmented using industry standard k-means algorithm in R.
• 3)Initiated Account Based Marketing project to identify and target Cvent’s valuable clients with directed campaigns to increase revenue from those accounts by 10% to 15%. For this, I guided a team of 3 analysts to come up with a scoring methodology and forwarded the insights from the analysis to the Marketing team to run marketing campaigns.
• 4)Generated insights from customer data, using statistical techniques and data query tools to help the Sales and Marketing team to close business deals, total valued at around $500 thousand.

Oct 2014 – Apr 2016 · 1 yr 6 mos · Okhla, New Delhi

• Worked in the Central Analytics Team at Snapdeal to provide various insights to the Product Team. Involved in various projects going on in Snapdeal, a few mentioned below:
• 1)Worked with Product Managers to develop cross-selling and over-the-counter selling strategies, using data analytics, to increase FMCG sales without using traditional marketing techniques or cash discounts. The strategy increased the FMCG sales by roughly 100%.
• 2)Generated insights from the customer data to improve the customer refund/replacement experience on the website, mobile-site and mobile application. This led to a 35% increase in product usage for refunds/replacements.
• 3)Initiated and implemented a project for impact analysis of new product features, seller retention and monitoring to product managers. This improved the efficiency of the platform by 8%.

Dec 2013 – Oct 2014 · 10 mos

• Changed the traditional car buying process into the 21st century by using technology as a key enabler to minimize human level decision making in acquiring inventory, pricing(dynamic) as well as transaction process.
• It involved Marketing Stratergy and Pricing for a fortune 500 company and performing analytics for other high profile companies using statistical tools like R, Linear Regression, Optimization, MS Excel, etc.