Binoy George

Healthcare Systems sales performance analytics. Build machine learning and analytical solutions for sales performance domain. Advisory business consulting .

• Performing Machine-Learning modeling on large datasets to perform statistical analysis & create predictive models. • Developing data science use-cases. • Use descriptive analytics to find new observations, product possibilities and business opportunities. • Hands on experience on various statistical models/machine learning algorithms including – Linear-Regression, Logistic-Regression, Decision Tree, Random Forest, K Means Clustering, KNN – Classification.

• Use descriptive statistical analysis to find new observations, product possibilities and business opportunities. • Build a machine learning algorithm for predictive Fraud Management system in a Telecom sector. This model continuously learns from the already confirmed fraud cases to more precisely predict the new fraudulent cases, in turn reducing the revenue loss due to fraudulent transactions.

• Fraud pattern identification for various types of telecom frauds. • Build fraud alarms for detecting the telecom fraud cases. • Analyze the detected cases for false alarms. • Take action for confirmed fraud cases.

• Played key role in the Kenan FX Subscriber Management System (SMS) Implementation, which included Order fulfillment, inventory management and Billing for Foxtel (ViVA) Australia. • Performed migration analysis of source data. • Performed various configurations in the BP Module, including products, promotions, one time charges, usage, payment types, journal codes, item types, milestone mapping etc • Performed testing of various Kenan BP configurations (RC, NRC, Usage data).

• Analyzing various Revenue Assurance data streams for revenue leakage use cases. • Build Revenue Assurance controls for telecom Order to Cash flow. • Monitor the RA controls for revenue leakages and timely reporting of the activity. • Take action on the revenue leakage cases detected. • Reporting based on RA KPI’s.

Applied Statistics

Physics, Mathematics, Chemistry