PayPal Rewards

• Design & deploy PayPal Funded reward offers to 40MM Monthly Active users.

• Partner with cross functional teams to identify always on rewards constructs that can be scaled to the entire PayPal base in the US through extensive A/B experimentation

• Design measurement frameworks to capture the incremental lift from investments made towards Rewards Experiments

Bank Partnerships – Discover, Chase & American Express

Leveraged Quasi-experiment causal inference methods to measure incremental impact from large scale cashback programs, Discover 5% & Chase 5% on Revenue, Customer Life-time value & Churn Saves

Wal-Mart Targeting program (Walmart Connect Partnership)

• Developed targeting strategies for 100+ marketing campaigns to drive increased Return on Ad Spend (ROAS) for Fortune 50 clients.

• Leveraged Basket and Purchase Behavior data for 90Million+ households to design, target, execute & measure marketing campaigns using Wal-Mart’s shopper database.

• Led discussions with brand managers to support strategic objectives like new product launches, Improve category market share, etc.

• Translated Quantitative analysis in a compelling & concise way to technical & non-technical audiences.

• Designed measurement methodologies to be applied for better understanding of shopper attitudes and perceptions.

• Responsible for managing the entire campaign life cycle – From Strategy to measurement.

• Technical Skills: Hive, SAS, Python, Tableau

Predictive Modelling

• Customer Lifetime Value: Developed the methodology to derive customer LTV from cash flow & repeat behavior data.

• Leveraged ML methods like Regularized regression, Logistic Regression, Decision Trees to build propensity models to predict total market Category spend using Wal-Mart & 3P data sources

• Anti Money Laundering (AML) Lookback for a Fortune 500 Financial Company

• Developed quantitative data analysis and data mining solutions (7 Billion transactions, 25 million customers) to support forensic investigators in a compliance and regulatory environment

• Simulation modelling for an Energy think tank client

• Worked on a system dynamics modelling project to assess the impact of alternative fuel vehicle adoption on oil demand and the economy

• Go to market strategy for a pharmaceutical company

• Evaluated the customer landscape including profiling IDNs (Integrated Delivery networks) and local Markets using a proprietary behavioral segmentation model in SAS

• Mobile Payments Strategy Pilot – Survey data analysis

• Analyzed survey data conducted by PwC in which 4500 people were asked questions pertaining to their use of mobile devices for payment activities

• Abandoned and Unclaimed Property (AUP) for a Technology Client

• Analyzed AdSense data to identify customers who have abandoned their financial assets using SAS on a UNIX environment

• Agile development of a Medical Services request Application called SPARC using Ruby on Rails programming language and Application deployment/Performance tuning in Enterprise Redhat Linux and Ubuntu environment

• Extract large sets of Patient data from an Oracle Clinical data warehouse using SQL and assist researchers by identifying trends using Tableau, data reporting and providing solutions through statistical analysis using SAS

• Virtualization technology: VMWare, Virtualbox