About

I help bridge the gap between data, tech, and real-world applications.

With over 25 years of experience at the crossroads of technology, data science, and entrepreneurship. I've spent my career helping others to understand how we use data to make better decisions in business and beyond.

My journey began in technology consulting, where I honed my skills and nurtured a deep interest in solving real-world problems through innovative tech solutions. This work led me to the forefront of data science, machine learning (ML), artificial intelligence (AI), and natural language processing (NLP), fields where I have since made my mark. As the Chief Information Officer at Sundial Capital Research and the Chief Technology Officer at Geekhive, I've been privileged to lead initiatives that transform vast amounts of data into actionable insights, empowering businesses to thrive in today's digital age.

My academic pursuits, culminating in a dissertation titled "Analysis of Twitter Messages for Sentiment and Insight for Use in Stock Market Decision Making," laid the groundwork for my research in decision support, big data, sentiment analysis, and social media analysis. These efforts have led to developing cutting-edge systems and strategies that leverage sentiment analysis, NLP, and big data to solve complex problems.

Entrepreneurship has been a key facet of my career. I have several successful ventures under my belt, the most recent focusing on providing advanced data analytics and visualization services to the financial markets. This entrepreneurial spirit and technical expertise have allowed me to see and seize opportunities for innovation and impact.

Outside of my professional career, I am a semi-professional photographer, a hobby (and passion) that allows me to explore the world through a different lens, capturing moments and perspectives that inspire and challenge me.