I help institutions make faster, better decisions with analytics that leaders actually use.

Current Role

Technical Business Analyst
January 2024 - Present
  • Design, build, and maintain institutional research dashboards in Power BI (enrollment, retention, major migration, faculty teaching history) using data from Ellucian Banner (Oracle/PL-SQL).
  • Partner with senior leaders (Provost, Deans, Chairs) to translate strategic questions into data-informed analyses.
  • Lead the transition from Tableau to Power BI, reducing ad hoc data requests by 50% and improving timeliness of executive decision making.
  • Develop automated reporting pipelines with Power BI and Power Automate, improving data integrity and reproducibility.
  • Presenter for the SUNY Power BI User Group on best practices.

Selected Work

Institutional Analytics

Tableau → Power BI Migration

Led the transition from Tableau to Power BI across SUNY Farmingdale’s institutional research office. Built enrollment, retention, and faculty dashboards on Ellucian Banner (Oracle/PL-SQL), reducing ad hoc data requests by 50% and improving timeliness of executive decision-making.

Power BIDAXOracle/PL-SQLPower Automate
NYU Stern Capstone

Digital Marketing Analytics: MMM & MTA

Capstone project applying Marketing Mix Modeling and Multi-Touch Attribution to map the path to purchase. Combined statistical modeling with real-world campaign data to quantify channel effectiveness and optimize marketing spend allocation.

PythonMachine LearningMMMMTA
Software Engineering

Database Migration Tool

Developed and deployed a C# migration tool to move content from Sitefinity CMS to Azure SQL, serving multiple client stakeholders across 3 high-value IT projects with 95% client satisfaction.

C#.NETAzure SQLSitefinity

Thought Leadership

Everyday Data with PnZ — conversations about data analytics, AI, and the future of work.

Education

M.S. in Business Analytics and AI
New York University, Stern School of Business
2024

Class Representative. Capstone: Digital Marketing Analytics using MMM & MTA for path to purchase. Coursework: Machine Learning, Generative AI, Data-Driven Decision Making, Big Data (GCP, AWS), Network Analytics, Statistics, Data Mining, Modern Artificial Intelligence.

B.S. in Computer Science
Auburn University
2020

Algorithms, Data Structures, Databases, Web Development, Mobile Development, Cloud Computing (AWS/Docker), Parallel Programming.

Tools & Expertise

Analytics & BI

Power BIDAXStar SchemasTableauPower Automate

Programming

PythonSQLRC#.NETJavaJavaScript

Data & Cloud

Oracle/PL-SQLGCP BigQueryAWSAzure SQLPySpark

AI & ML

Machine LearningGenerative AIPredictive AnalyticsNLP

Business

Project ManagementStakeholder CommunicationData-Driven Decision MakingDEI Strategy
Full Resume LinkedIn GitHub