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Google Cloud. Enterprise search and intelligence.

Full-time MBA student, Class of 2017. Member of Tech, Coding, Entrepreneurship, and VC/PE Clubs.

• Launched new product focused on attracting top-quality merchants to Groupon through online booking and dynamic pricing technologies. Implemented reservation tool to allow merchants to tier discount by time of day and funnel traffic to slower times.• Scaled product to 500+ merchants, about half of whom were brand new to Groupon. • Product became a new offering in Groupon’s merchant product portfolio and was on pace for $50MM run rate by end of year 2016.

• Led international cross-functional team across all stages of product development for Groupon’s Merchant Center• Launched core Merchant Center product in 18 languages to 35 countries and 50K+ merchants • Delivered 15%+ increase in merchant satisfaction within one quarter of product launch • Launched “Impact Report” product to deliver campaign impact and ROI calculator for Groupon merchants• Worked from Berlin, Germany for three months to streamline global product development and business processes

Holistic internship spanning engineering, product and distribution analytics, and strategyDeveloped set of key success-metrics to quantify efficacy of Chrome Distribution partnershipsAnalyzed partner data and presented trends, insights, and recommendations to management

Utilized a combination of Java, SQL, JSP, Spring MVC, and HTML to implement an end-to-end API framework and dashboard widget for LinkedIn's self-service ads platform, DirectAds. (https://www.linkedin.com/directads/)Gained deeper understanding of various internet technologies including three-tier architecture, HTTP, Tomcat, RESTful APIs, XML, JSON, and OAuth, to name a few.

Worked on analyzing and improving Python's NLTK (Natural Language Tool Kit) to accommodate collocations and similarity measures in statistical analysis of large-text corpora. (Part of Statnews Research group headed by Prof. Laurent El Ghaoui).

Implemented Twitter Application in Java to integrate with Opinmind’s Natural Language Processing technology to categorize and profile users on Twitter for targeted advertisingMaintained company’s MySQL databases and supported internal development teamDesigned executive dashboard for marketing division utilizing SAS, MySQL, HTML