Srinivasan Santhanam Email & Phone Number

India

Tampa, Florida, United States

●Developed a rule-based Selection model using SQL to identify potentially fraudulent claims for health insurance payers, reducing overall claim expenditures by 20%.● Developed a Revenue Forecast Model using ARIMA and LSTM, achieving 20% MAPE. Enabled teams to set and achieve Monthly/Quarterly/Yearly revenue targets.●Conducted Statistical Experiment Tests ( Chi-Square, t-test) and used Machine Learning algorithms (Logistic Regression, Decision Trees) using R and Azure ML to identify unusual patterns in claims data that could indicate errors or fraud.●Define KPIs, reporting requirement requirements, and success metrics for Payment Integrity that helped uncover hidden insights.●Created ad-hoc reports and dashboards using Tableau for various clients that provide prepayment and post-payment in-depth analysis for various Medicare/ Medicaid programs.

India

● Analyzed the impact of marketing campaigns, website changes, and product launches on e-commerce performance metrics,providing insights and recommendations for optimization.● Migrated legacy business reports in Excel to a comprehensive Tableau dashboard explaining customer conversion andabandonment details; saving 20% of the sales and marketing efforts.● Developed and managed an inventory management report using Tableau tailored for APAC regions, facilitating proactivepreparation for sales activities.● Identified key performance indicators (KPIs) such as conversion rates, customer acquisition costs, and customer lifetimevalue to drive decision-making and strategy formulation.● Developed an in-house data source tailored for business report users, effectively streamlining loading times across multiplereports and optimizing overall performance.● Developed and maintained metric documentation for several reports, facilitating seamless navigation for senior executives across diverse region

India

● Gathered comprehensive business requirements through stakeholder interviews and workshops, resulting in the developmentof detailed BRDs for AML compliance initiatives.● Translated AML requirements from BRDs into detailed FSDs, specifying system functionalities, data elements, and logic forAML detection scenarios.● Collaborated with IT teams to design data models, schemas, and database structures supporting AML data management andanalysis (FSD).● Prepared data mapping and transformation rules to support data flows and integration between AML systems and external sources.● Developed comprehensive UAT plans, including test scenarios, test cases, and acceptance criteria based on BRDs and FSDs.● Created training manuals, guides, and presentations to support user training on AML policies, procedures, and systems.

Master Of Science - Ms, Computer Systems Analysis, 3.87/4

Masters in Business Analytics and Information Systems: • Data Discovery and Finding Patterns • Working with Various Machine learning.

Bachelor Of Engineering - Be, Electronics And Communications Engineering, 3.7/4