Analytics leader with 10+ years turning ambiguous data problems into executive-ready insights.
I'm an analytics leader with over a decade of experience helping organizations make sense of their data. My work spans healthcare, revenue cycle, and enterprise operations — from building dashboards to designing data strategies. I combine technical depth (Python, SQL, ML, BI platforms) with business fluency to deliver outcomes, not just outputs.
My path into analytics started with a simple question: why is this process so inefficient? Early in my career, I discovered that most operational problems are really data problems in disguise — and that the right analysis, delivered clearly, can unlock decisions that had been stuck for months.
I've spent the last decade in healthcare and revenue cycle analytics, progressing from hands-on reporting to leading analytics functions. Along the way, I learned that the most valuable analytics work isn't about fancy models — it's about asking the right questions, building trust with stakeholders, and translating complexity into action.
In 2023, I earned my Master's in Applied Data Science from the University of Chicago to sharpen my technical edge and deepen my foundation in machine learning, statistical inference, and data engineering. That training reinforced what I already believed: rigorous methodology matters, but only if it serves the business.
"Analytics isn't just about numbers — it's about understanding systems, asking the right questions, and creating clarity from complexity."
I don't just build dashboards — I define the questions, architect the data, and present to leadership.
I bridge the gap between technical teams and executives who need clarity, not jargon.
I focus on what moves the needle, not what looks impressive. Results over complexity.
I design solutions that grow with organizations, not quick fixes that break under load.
University of Chicago, 2023
I'm tool-agnostic — I care about outcomes, not stack loyalty.
I treat every engagement like I'm joining your team, not just completing a deliverable. That means:
Listening first. I invest time understanding your business context before touching data.
Communicating often. No black-box surprises — you'll see my thinking as it develops.
Delivering clarity. My outputs are designed for decision-makers, not data scientists.
Building capability. Where possible, I leave you with systems and knowledge, not dependencies.
I'm open to a range of engagement types where I can help organizations level up their analytics capabilities:
If any of these sound like your situation, I'd welcome a conversation.
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