Oct 2014 – Jan 2016 · 1 yr 3 mos · Bangalore

• Supervising a team of analysts in designing, maintaining & producing time-sensitive reports & executive dashboards on a timely basis.
• Working closely with the product team to arrive at the recommendations for product innovation & improvement.
• Defining KPI(s) to measure success and providing reporting to monitor these metrics to keep track of product performance.
• Organizing weekly & monthly reviews with the CEO, CTO & CMO offices to keep a close track of KPIs & impact of the product on seeker behavior.
• Liaising internally with stakeholders across focus areas (Listing ops, Product, Marketing & Seeker Experience) to drive the action items identified during WBR/MBR discussions to closure.

Apr 2013 – Oct 2014 · 1 yr 6 mos

• Models to predict the intent of online visitors real-time to target them with the right intervention.
• Designed, developed & deployed an intent prediction model for a Telecom major to target the visitors real-time with personalized chat invites based on intent.
• Modelled structured & unstructured variables such as online customer journeys, past purchase patterns & search terms to segment the customers based on intent
• Collaborated with User experience team to get the best set of invites (based on customer intent) to enhance product features and customer experience.
• Real-time recommendations to the chat agents based on customer intent from the web journeys & chat context.
• Provide the agents with the right set of information & probing questions based on customer intent in order to help them assist the customer effectively and thereby enhance customer experience.
• Was instrumental in developing & driving the first such use case in the product.
• Solved other interesting problems like Cart Abandonment etc for major US retailers.

Jun 2012 – Apr 2013 · 10 mos

May 2011 – Jun 2012 · 1 yr 1 mo · Bangalore

• Part of Strategic Insights Team for a leading specialty footwear retailer (US Based)
• Core member of the offshore team handling analytical deliverables.
• Worked with the CMO office and helped business identify key factors of churn.
• Helped business create an effective customer retention strategy by designing and developing an Attrition Model (CART and Logistic Regression)
• Working closely with the Marketing team in identifying the customer base to ensure targeted marketing through campaigns.
• Work on campaign execution and ability to bring in SQL functionality in addition to Unica was thoroughly appreciated by the Client.
• Recipient of "Most Valuable Player" award for excellence in Retail Analytics.

Jun 2010 – Mar 2011 · 9 mos · Bangalore

• Part of the Knowledge Services solution team for a Middle-East based Telecom Major:
• Performed discovery exercise that aimed at identifying key metric of churn/attrition.
• Part of the team that designed, developed and implemented a Churn Prediction Model.
• Coordinated and collaborated with the team in building the model based on Logistic Regression.