Mar 2013 – Present · 13 yrs 1 mo · United States

Apr 2011 – Jun 2012 · 1 yr 2 mos

• Analyze large volume of banking transaction data based on ‘big data’ paradigm.
• Build predictive model using statistical techniques and draw actionable insights that helps client enhance revenue, minimize cost and maximize profitability.

Apr 2011 – Jun 2012 · 1 yr 2 mos

• Business consulting - Identify areas of opportunity in a business, analyze data to derive actionable insights, develop a solution and present written business recommendations to help the business.
• Data mining and descriptive analysis – Report key insights derived from analysis of data using statistical techniques to help client get a better picture of their business.
• Business Insights and Predictive modeling - Use data mining, model building, and other analytical techniques to develop predictive models such as Customer life time value (CLTV) model, Customer attrition model, Customer Segmentation, Cross sell , Upsell, Sales prediction, Customer profitability optimization and Next likely product model.
• Project management and execution - Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.

Nov 2009 – Jul 2011 · 1 yr 8 mos

• I have done modelling and data analytics in projects dealing with varied fields like Health Care and insurance, Cable TV Industry and Retail industry.
• My projects were mainly focussed towards building regression models using SAS.

Nov 2009 – Apr 2011 · 1 yr 5 mos

• Market Mix modeling for a leading US based Pharmacy retailer
• I contributed on building a market mix model for one of the leading pharmacy retailer in the US. With the help of this model we were able to compute marketing contribution from different marketing vehicles used. It also measured vehicle effectiveness (in dollars) for each product category highlighting the best performing marketing vehicles .The model also helped forecast sales for next 6 months. It could also measure the dollar effectiveness of various marketing campaigns that run all round the year. It helped the marketing division of client answer questions like, did the specific strategy and tactics (Messaging Vehicle mix, Target & Spend levels) of the initiative, cause the intended actions, what was the ROI of different marketing campaigns.
• Spend Optimization to achieve maximum ROI
• The objective of this project was to optimize spend on various marketing channels, to achieve maximum returns. Using the market mix model, spends on channels were varied across all the vehicles and product categories, keeping in mind the business constraints to achieve maximum sales and ROI. This project helped the client achieve the same amount of sales with a reduced marketing spend by 2 million dollars every month.
• Sales forecasting
• This project was done for a major telecom, cable and internet service provider in US. The objective of this project was to develop a model equation for sales, which helped in identifying key factors driving sales within different regions of the US and forecast Sales for next 6 months. The accuracy of prediction of these models was 98% and the technique used was Fixed Effect regression modeling.

Jun 2008 – Oct 2009 · 1 yr 4 mos

• I had worked for a fortune 500 company with a huge patent portfolio. The project was mainly dealing with analyzing the patents of the client and organizing and classifying them into various technology categories. Also each patent was given a strength score using an in house built patent strength algorithm. I am also one of the co authors of a patent covering the Patent Strength Algorithm.