About

I'm Dr. Christy Aroopala. I teach analytics at Rice University's Jones Graduate School of Business (MBA & Master of Data Science programs) and at UT Austin's McCombs School of Business.

As founder of CA Strategy & Analytics Advisory, I help CX, operations, and strategy leaders design a valid use case before teams start building — so initiatives don't stall and analytics work actually gets adopted.

With 15+ years leading analytics and data science at AIG, VMware, and in consulting, my focus is on the strategic design and planning layer of analytics and AI initiatives. Having done this work from both sides — the hands-on technical work of building and deploying predictive models, managing data pipelines, and writing code, as well as leading initiatives end-to-end with executive stakeholders — I bring practitioner depth and strategic leadership to the design phase, where it matters most.

I hold a Ph.D. and MBA from Rice University and completed a postdoctoral research fellowship at Yale University, where I taught and conducted research.

Past Work → Learn More About CA Strategy & Analytics Advisory →
Dr. Christy Aroopala
Past Work

Designing Analytics Initiatives for Business Impact.

Selected examples from 15+ years of analytics initiative design and deployment. Clients anonymized per industry standard.

Revenue Protection · Operational Risk
Turning Operational Risk Into a Manageable, Measurable Problem
Operations leaders needed to reduce revenue loss and regulatory exposure from rising customer complaints — with no early warning system and no adoption plan for any solution.
Led the design, executive scoping, and deployment of a predictive early warning system successfully integrated into frontline workflows.
Impact Complaint volume dropped to the lowest rate in company history during the pilot. First fully deployed predictive model at the organization. Prevented ~$850K in projected revenue loss.
Decision Support · Client Analytics
Turning Complex Data Into a Tool Frontline Teams Actually Use
Business leaders needed to show clients the predicted impact of strategic decisions — in real time, in live meetings — without relying on static reports or manual analysis.
Led executive team through full initiative scoping for a predictive model scenario testing tool designed for field use.
Impact Voted Best Innovative Transformation Initiative in a company-wide executive competition. Selected for enterprise-wide expansion.
Analytics Function · Team Leadership
Building the Foundation for a High-Performing Analytics Function
A growing data science team lacked a structured methodology for scoping and executing strategic analytics projects — leading to misaligned priorities and inconsistent delivery.
Designed scoping methodology and templates, created a prioritized initiative roadmap, guided execution, and managed executive stakeholders throughout.
Impact Launched Customer Lifetime Value analytics product generating $2.6M in projected revenue. KPI performance improved 52% across strategic initiatives.
CA Strategy & Analytics Advisory

Most analytics and AI initiatives fail before they even start.

I help operations and strategy leaders fix that — by partnering to design the use case before build begins. The result is initiatives that don't stall mid-build and analytics work that actually gets adopted.

The methodology I use comes from years of applying social science research rigor to business analytics: define the problem precisely, test assumptions, map the data, design for adoption, and help leaders know before build whether the initiative is worth it.

What's different about working with me is the combination — the technical depth to understand what's actually being built, and the strategic experience to know whether it should be built at all.

When Leaders Reach Out
  • They're being asked to greenlight an analytics or AI initiative — but something feels undercooked
  • They've been through a build that stalled, got reworked, or never got adopted by the frontline
  • Their team is excited, but no one can clearly define success or who's accountable
  • They don't want to bring in Big 4, but need an expert outside view before committing
"The problem is almost never the data. It's that no one scoped it right before the build started."
Get in Touch →
Get in Touch

Let's connect.

Whether you're evaluating an analytics initiative, exploring a consulting engagement, or just want to talk through a problem — I'm happy to connect. I review every message personally.

I'll follow up within 1–2 business days.