I routinely explore new ways to collect, interpret, and synthesize data to provide the most well-rounded and informed insights. My latest exploit is up-skilling on AI for big data analysis and visualization, including ethics, limitations, and query best practices.

When problem-solving, it's important to look at the situation from multiple angles. This means checking numbers, observing behavior, listening to people, and building context through secondary research. The more layers you add, the stronger insights become. All emerging discoveries are treated as hypotheses to be proven wrong, and I challenge assumptions before moving forward with a recommendation. If the data isn’t there to support it, I won’t ship.

Equally important to insight analysis is the communication of those discoveries. Visual communication is a huge part of my work. Whenever possible, if I can consolidate bulky information into a visual, I will. It provides quick comprehension and information retention. For reports and decks, I ensure each team gets the information they need to move forward, without overloading them with extraneous context (no matter how excited I may be about findings).

I don't stop there. Past research, I work with organizations to build a holistic understanding of their systems and turn insights into strategic recommendations through collaborative input, opportunity mapping, and cost-benefit analysis.

Overall, I'm interested work that genuinely makes the world better, for the people in it, and the planet they depend on. If that sounds like your organization, reach out above.