I build predictive machine learning models and executive dashboards that help people make better decisions. The kind of work that actually gets used.
I'm an experienced data scientist based in Tampa, FL with nearly a decade of experience spanning revenue intelligence, GTM analytics, and machine learning.
I build compelling data products that drive real business impact, integrate strategic AI models that deliver revenue growth, and solve problems at-scale with data.
Currently at Vanta, I work in post-sales analytics, helping teams get a clearer picture of customer health, expansion opportunities, and retention risk. I do my best work in places where data directly shapes decisions.
Whether it's building agentic AI solutions or interactive data products, I love building things people actually rely on to influence decisions.
I hold a B.A. in Economics from Vanderbilt University .
A career built across high-growth SaaS, enterprise software, consumer goods, and healthcare analytics.
A rare blend of technical depth and business acumen, built across diverse industries and tools.
A selection of impactful work across machine learning, analytics engineering, and business intelligence.
An end-to-end sales analysis built in Tableau, exploring store performance, trends, and key business metrics through interactive dashboards.
Built and deployed ML models in Apache Spark to predict Microsoft product purchases (Copilot, Azure, Sentinel). Delivered results through an integrated Power BI dashboard, driving a 50% uplift in opportunity generation.
Orchestrated a medallion-based data pipeline architecture in Azure Databricks using Python and SQL. Transformed raw source data on a regular cadence, ensuring data quality, scalability, and governance across the org.
Partnered with finance and marketing to build a single source-of-truth for executive leadership at Sprinklr. Led data transformations, metric creation, and visualization of all sales-related KPIs for the C-suite.
Built models recommending the 'next logical sales play' using customer journeys and market basket analysis. Enabled focused upsell plays toward high-potential accounts, driving meaningful revenue growth.
Analyzed historical sales trends and built statistical forecast models for over $100M in Callaway Golf inventory, enabling accurate SKU-customer level demand planning integrated into Power BI dashboards.
Selected by Revenue Operations to run Sprinklr's internal analyst program. Led weekly Power BI office hours, lunch and learns, and put together learning content for analysts across the company.
I write about data, analytics, and the tools I work with. Published on Medium.
A practical breakdown of data modeling concepts in Power BI — covering why it matters, how relationships work, and how good modeling makes your reports faster and more reliable.
Using exploratory data analysis in R to dig into MLB home run trends and what the numbers actually reveal about baseball's steroid era. Stats, visualizations, and a few surprises.
If you’re interested in collaborating, discussing a data challenge, or connecting professionally, feel free to reach out.