About Us

I started my career by tackling challenging data problems, where getting clean, accurate information made all the difference. After graduating from George Mason University, I led complex projects in data analysis, building scalable systems that processed millions of records.

Over the years, I honed my skills in data engineering and AI applications, working with political campaigns and organizations that relied on trustworthy data to drive critical decisions.
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Again and again, I saw teams struggle with poor data quality. Cleaning it up was either too expensive, took too long, or needed expert skills most organizations didn’t have. I also realized that even companies with clean data often missed opportunities to get more value out of what they already had.

For example, I once helped merge siloed customer data from surveys and mailing lists by matching names and emails. This revealed valuable insights that allowed the team to create personalized email campaigns, increasing click-through rates by over 40% and driving measurable sales growth. This experience proved how clean, integrated data can unlock new opportunities and significantly boost outcomes.

I knew there had to be a better way, and that’s why I built Polaris—to solve the problem I encountered time and again in the field. Polaris gives you the power to clean and organize your data quickly, no matter your technical background. It's designed to quickly improve data quality and pave the way for data analysis. Now, you can focus on making smart, data-driven decisions with confidence, using analysis from clean, reliable data you can trust.
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