• Create incentive programs for partners to migrate from legacy to new buying platform • Partner with various stakeholders to identify key performance indicator and develop dashboard to track the success of new buying program• Collaborate with engineers and PMs to define product requirements and roadmap, and develop migration plan for product delivery• Conduct competitive pricing analysis• Developed pricing strategies to simplify the buying program and increase bookings by 31% YoY and reduce customer and partner complaints by 38%

• Analyzed and provided the leading indicators of web purchase using salesforce data.• Built lead scoring model to enable sales and marketing focus prioritization as measured by improvement in conversion to sales accepted opportunities• Created predictive model to identify key accounts and namespaces with high likelihood to convert• Developed dashboard to track the conversion rate for free and trial conversion to paid• Created dashboard to track the sales attainment

• Parsed and analyzed application logs to gain insight about the user behavior patterns and streamline the data process using SAS DI studio• Developed analytic model to identify anomalies by comparing the weekly user pattern and the 6-week rollup user pattern. • Analyzed the hourly netflow data and developed peer groups using unsupervised learning mythology to better detect anomalies• Assisted in the estimation and development of the scopes for cybersecurity projects• Contributed and reviews proposals, documentation, publications, and course materials• Facilitated requirement definition workshops to gather and assess different level of detail required to properly scope and plan implementations.• Provided leadership expertise in positioning analytical services to both customers and internal teams.• Worked as mentor with junior members of the staff in developing their skills and knowledge.• Supported data acquisition, validation, and management from incoming data sources

• Analytical lead for implementation of Revenue Management and Pricing Optimization Analytics (RMPOA) software for Choice International Hotel • Collaborate with team of consultants and R&D to deliver the Revenue Management solution for Choice International Hotel, leveraging their transactional history to provide optimal pricing recommendation via demand forecasts, capacity, and price history. • Oversee technical and analytical delivery tasks • Work closely with project management to develop project timeline different phases• Work with the client to gather enhancements and requirements for future phases• Develop summary table and alert table for forecast monitoring • Support data acquisition, validation, and management from incoming data sources

- Worked with major retailers to implement the Markdown Optimization Solution- Analyzed the data to detect for any outlier or data issue prior to modeling work- Used time series and regression model to measure the impact of various marking mix effect such as price effect, lifecycle effect, holiday effect, seasonality, and trend.- Developed score card and reviewed the statistical metrics of the model group to determine the forecast accuracy of the demand model.- Interacted closely with the business team and client to determine the pricing rules- Worked closely with the client on price validation phase and answered forecast related issues- Provided analytical training to the client on the Markdown Optimization solution- Interacted closely with RD and tech support on issues/defects, and provided resolutions/answers to the client on timely manner.

•Assisted Chief Statistician for the Comprehensive Error Rate Testing Program (CERT) to analyze the improper payments in Medicare.• Worked in SAS to calculate three types of error rates to improve the payment accuracy of the Medicare program• Assisted the Recruitment, Training and Support Centers to identify new sites for National Health Service Corp recruitment project.• Conducted regression and analyzed community characteristics to estimate their impact on a site’s likelihood of filling a vacancy.• Generated charts and pivot tables in Excel that describe the success/failure to fill site vacancies.• Conducted research on healthcare costs associated with overweight/obese, alcohol usage, and tobacco usage in the Military Health Service Beneficiary Population. • Designed a user interface in Visual Basic for the Public Health Informatics Institute’s Business Case Model. The tool allows users to enter different scenarios to determine the benefits and costs of integrating child health information at state level.• Worked on Nursing Demand and Supply Model. Analyze 2004 National Sample Survey of Registered Nurses and determined the proportion of licensed RNs working in the nursing field. Also analyzed the retirement patterns in the 2005 Current Population Survey and combined this with CDC (2006) data on mortality rates for women to update the proxy for RN attrition rate.

- Calculated the impact of deductibles and co-payments on claim costs- Forecasted claim amounts using Predictive Modeling- Determined the employer groups that need rate adjustment