I turn complex financial data into clear decisions — advanced analytics and predictive modeling applied across revenue growth management in CPG and retail, actuarial pricing and benefits management in healthcare, consumer lending, and the everyday money math people actually live by.
12+ years across advanced analytics, revenue growth management, actuarial pricing, and corporate finance at Blue Cross Blue Shield, Willis Towers Watson, PepsiCo, and JCPenney · B.S. Mathematics (Cum Laude), Texas Woman's University, with advanced actuarial science coursework at UT Dallas.
I'm an actuarial-trained finance and analytics professional based in Dallas, Texas, with a B.S. in Mathematics (Cum Laude) from Texas Woman's University — including advanced actuarial science coursework at UT Dallas — and more than a decade spent turning messy data into decisions leadership can act on.
My work runs the full width of finance: pricing health-insurance plans as an actuarial analytics consultant at Blue Cross Blue Shield, leading revenue growth management — trade budgets, pricing, and promotional strategy — at PepsiCo, engineering the pricing overhaul that drove a $50M profit swing at JCPenney, and — as founder of CG Holdings — running revenue and growth analytics while personally evaluating 400+ consumer lending applications.
That actuarial grounding is why everyday money tools matter to me. I've sat on both sides of a loan decision and a monthly payment. I know what's really behind an APR, a take-home number, and a budget that has to survive a bad month.
From actuarial pricing models to the math behind a household budget — the same discipline, applied at every scale.
Actuarial pricing models, underwriting and reserving, ICD/CPT-coded claims analysis, and cost-benefit and IBNR studies for health plans at Fortune 50 scale.
Trade and promotional strategy, pricing and price elasticity, and mix and margin optimization — the discipline behind a $50M profit lift, 110% revenue growth on a key account, and back-to-back Founders Awards.
Financial models, annual operating plans, expense variance analysis, and C-suite-ready insight that ties numbers to strategy.
Credit-scoring models and 400+ lending decisions made under real underwriting policies — practical insight into how borrowing actually works.
Predictive models in SAS and Python, KPI dashboards, and forecasting that holds up when the market gets volatile.
Strategic financial planning for small-business owners, plus reviewing consumer money tools for accuracy and plain-English clarity.
Short proof points that show the business problem, the analytical approach, and the measurable result.
Used local-market pricing and promotional analytics to turn trade spend into measurable growth.
Applied analytics as an operator, not just an advisor — across inventory, marketing, lending, and financial reporting.
Converted pricing complexity into a clearer, more profitable operating structure.
Translated complex healthcare data into pricing, utilization, and client-facing recommendations.
Lead strategic analytics and tool-building that drive promotional insight across customer teams — promo playbooks, party-size segmentation, and company-wide adoption of unit-trend and velocity dashboards that reinforce a data-driven culture.
Managed the Albertsons trade budget (a multimillion-dollar account). Saved $250K/year by catching deduction fraud with a new audit process, lifted market share 132 basis points, grew revenue 110% YoY, and reached 99% budgeting accuracy with advanced financial models.
Built the business end-to-end and boosted profits 15%, revenue 10%, and inventory turnover 15% through pricing and forecasting strategy. Managed lender, dealer, and customer relationships — evaluating 400+ lending applications and streamlining lending decisions.
Revolutionized the pricing structure to generate $50M in profit and a 12% sales lift, earning two consecutive Founders Awards. Modernized the data infrastructure with a Big Data warehouse and BI system, improving reporting speed and accuracy 50%.
Health, vision, dental, and life-insurance analysis for Fortune 50 clients — cost and utilization studies on ICD/CPT-coded claims data, plan design, and contribution strategy that lifted employee satisfaction and retention 10%.
Built actuarial pricing rate tables in SAS from ICD/CPT-coded claims experience for individual health plans, applied advanced statistical techniques to pricing, underwriting, reserving, and reimbursement forecasting, and lifted medical-management program sales 15%.
As CheckMyPayment’s finance reviewer, I help ensure the site’s calculators and consumer finance guides are grounded in accurate math, practical lending knowledge, and plain-English explanations people can actually use.
My job is simple: make sure the math is right and the explanations are honest before anyone trusts them with a real money decision.
Visit CheckMyPayment →Open to finance and analytics conversations, advisory work, and collaboration.
Dallas, Texas · [email protected]