I build data science and analytics applications with an emphasis on delivering tangible business value and actionable results.
Data science is a tool set for answering questions about the world. By breaking down the numbers we can gain a better understanding of the systems of relationships that govern our lives, businesses, and society. I've worked with companies big and small to answer these questions, and provide useful insights to meaningful problems.
I have experience building production machine learning applications and data analytics tools for companies in technology, finance, public health, and cybersecurity. Prior to working as a freelance consultant I worked on the Research & Analytics team at a venture-backed technology startup in Raleigh, North Carolina.
Before my work in data science, I studied mathematics at UNC - Chapel Hill. My coursework centered on building core knowledge in quantitative reasoning and included classes in applied linear algebra, statistical inference, probability theory, and dynamic systems.
Apply state of the art predictive and exploratory machine learning techniques. Deploy production-ready models that are robust and generalizable.
Exploratory Data Analysis
Examine trends, identify statistically significant relationships, and gain valuable insights into historical data. Visualize the results in beautiful reports.
Business Intelligence Dashboards
Interactive dashboards for analyzing data and making informed decisions. Built with cutting-edge security, scalable report delivery, and flexible data integration.
Tools I Use
Get in touch
I have a successful track record of delivering data science & business intelligence solutions to clients large and small. If you'd like to discuss a project or just have general questions about how data can be used effectively at your organization, feel free to drop me a line. I'll get back to you shortly!