I help organizations stop guessing and start growing. I build predictive models and automated dashboards that minimize risk, optimize operations, and drive measurable revenue.

I don’t just build models. I build answers.
In a world drowning in data, clarity is the only metric that matters. I operate at the intersection of technical engineering and business strategy. My goal is simple: Code is useless if it doesn't solve a business problem.
My background is rooted in action. I have engineered centralized data infrastructures (improving efficiency by 25%), built predictive models to forecast trends, and designed real-time dashboards that allow executives to make decisions in seconds, not days.
Whether I am querying complex datasets in SQL, building machine learning pipelines in Python, or visualizing the 'So What?' in Tableau, my focus is always on ROI. Let's turn your data into Business Decisions.
Solving real business problems through code. My projects focus on ROI, efficiency, and predictive accuracy.
The Technical Toolkit
Professional Impact & Results
Spearheaded data initiatives across the Busch School and Research departments. Analyzed multinational corporate trends using Python (Pandas), engineered automated SQL cleaning workflows that improved reporting reliability by 20%, and designed Power BI dashboards to track academic KPIs for leadership.
Engineered a centralized data infrastructure from scratch, boosting operational efficiency by 25%. Migrated unstructured records to a SQL repository and trained 20+ staff members on data accuracy.
Academic Background
Relevant Coursework: Predictive Modeling, Advanced Machine Learning, Database Management (SQL), Cloud Computing (AWS), Financial Risk Analytics.
Focus: Internet Systems, Data Architecture, Information Technology Strategy.
Focus: Computer Science Fundamentals, Algorithms, Software Engineering.
Let's turn your Data into Business Decisions