Leading and building a data science practice through hiring and training junior data scientists on R, advanced analytics, Python, Machine Learning, SQL, business knowledge, and communication skills. • Worked with junior analysts to develop ML models on PySpark for national healthcare provider. Models implemented in live pilot using PySpark. • Developed algorithms and technology solutions for a top health insurance provider to maximize profit with quality and geographical constraints by optimizing the network provider selection process. Implemented web based optimization solution on clients cluster of Linux servers. • Led marketing strategy analytics for a national resort chain to improve targeting accuracy and sales funnel efficiency through identifying new data sources and predictive modeling.

Led advanced analytics projects to conduct risk modeling and stress testing (CCAR and BASEL) for top national banks ($20 to $40 billion portfolios); directed offshore resources on advanced analytics.• Audited a top investment bank’s CCAR /risk models including the Fed scenario expansion models used to assess risk across the firm’s entire investment portfolio. • Developed a model for a credit reporting agency to target prospect investors, a potential product for them to sell to brokerage firms. • Automated model monitoring process and validated credit fraud and risk models for a top bank.

• Managed an analytics team developing predictive models to, among other things, optimize targeting, incentive effectiveness, improved debt collection effectiveness by 20%. • Led a cross functional team to create and implement processes which improved the forecasting accuracy of annual revenue of $1 billion by 20% and reduced time spent to produce reports by 70%.• Pioneered Laureate’s big data initiative using Hadoop to analyze unstructured data such as blog posts, social media data and notes from enrollment advisers; detecting in early stage the students more likely to require prompt academic intervention/support.