Sr. Principal Data Scientist | ML/AI Leader | Revenue Optimization
Summary
Senior data science leader with 15+ years of experience building enterprise-scale ML/AI solutions. Proven track record in designing and deploying pricing optimization systems, predictive models, and agentic AI applications that drive measurable business impact. Expert in leading cross-functional teams, translating complex business requirements into scalable analytical solutions, and delivering revenue management systems across mortgage, telecom, hospitality, and sports industries.
Experience
Spearhead agentic AI prototyping initiatives, architecting multi-agent workflows for intelligent database-driven chatbots that deliver real-time business insights
Design and maintain enterprise Power BI dashboards and analytics infrastructure, partnering with cross-functional teams to deliver strategic ad-hoc reporting and data-driven recommendations
Lead end-to-end ML projects for sports industry clients, including price optimization algorithms, customer renewal prediction models, and comprehensive customer journey analytics that drive revenue growth
Provide technical leadership and strategic guidance on advanced analytics solutions, translating complex business challenges into scalable ML architectures
Architected and deployed enterprise-scale pricing and revenue optimization system generating daily margin recommendations across 80,000+ market segments, managing full development lifecycle from model design through production deployment, A/B testing, and performance measurement
Developed industry-leading ML models for loan pull-through prediction with direct impact on billion-dollar hedge portfolio strategies, significantly improving risk management accuracy
Led data science team of 2+ direct reports, providing technical mentorship and strategic guidance on ML model development, forecasting systems, and advanced analytics solutions for business stakeholders
Drove cross-functional collaboration with business units to translate requirements into scalable analytical solutions, achieving measurable improvements in pricing efficiency and revenue performance
Led design and implementation of Verizon's enterprise Trade-in Price Optimization system, delivering dynamic pricing recommendations for hundreds of pre-owned mobile device models and driving significant revenue impact
Enhanced real-time inventory planning with advanced analytics capabilities, optimizing stock levels and reducing carrying costs
Conducted sentiment analysis and topic modeling on large-scale internal survey data to extract actionable business insights
Built and supported revenue management system for global hotel group with 700+ properties, achieving 1.9% revenue uplift through advanced forecasting and optimization algorithms
Engineered modular analytical components including demand normalization, booking curves, and probabilistic unconstraining for scalable revenue management solutions
Performed advanced analytics including time series forecasting, market response modeling (logistic regression, ensemble methods), and price optimization using machine learning techniques
Developed statistical models for risk assessment in insurance and economic domains
The Home Depot (Sep 2008 - Dec 2008): Pricing Analytics Intern - Supported pricing team in developing price elasticity regression models for SKU-level products
The Bank of New York Mellon (May 2004 - Jul 2005): Senior Financial Specialist - Financial operations and analysis
Bank of China (Jul 2001 - May 2004): Financial Specialist - Financial services and client management
Education
Georgia State University
Master of Science, Statistics (2007-2009)
Georgia State University
Master of Science, Economics (2005-2007)
Huazhong University of Science and Technology
Bachelor of Science, Economics (1997-2001)
Publications
"Empirical Likelihood for the AFT Model Using Kendall's Rank Estimating Equation"
Applied Statistics in Biomedicine and Clinical Trials Design (Springer), May 2015
"Jackknife Empirical Likelihood for the Accelerated Failure Time Model with Censored Data"
Communications in Statistics - Simulation and Computation, Jul 2014
Skills
ML/AI & Analytics
Machine Learning, Agentic AI/LLMs, Statistical Modeling, Predictive Analytics, Time Series Forecasting
Domain Expertise
Price Optimization, Revenue Management, A/B Testing, Business Intelligence
