I've spent my career crossing disciplines and solving complex problems. Now my passion is bringing that same thinking to small businesses and empowering them to do it themselves.
I've spent nearly 20 years in Fortune 500 finance, analytics, and operations, building financial models, forecasting systems, and analytics platforms which have driven over $150M in documented savings.
During that time, I have also trained broad regional organizations to use data and digital tools, from Power BI, KNIME, and Databricks to AI rollouts. I have also developed global futureproofing and enterprise certification programs.
Now I do both for businesses of all sizes. I've done analytical and strategic work for companies like Clorox, Diageo, Unilever, Mondelez, Mattel, and TriHealth while also teaching business owners how to use AI so they can do this kind of work themselves.
My path went from neuroscience researcher to IT to an MBA then nearly 20 years in Fortune 500 finance and operations. That varied background is my strength. I don't think only like a finance person or an IT person. I look at a problem and find the simplest way to solve it, regardless of what discipline the answer comes from. I believe in using the right tool for the job vs having a solution in search of a problem.
Every company has decisions they're not making because nobody's quantified the impact. I built analytics that turned gut feelings into dollar figures. Over $150M in savings across my career came from exactly that: showing people the number that made them act.
A company was about to restructure production to solve a shipping cost problem. I ran the statistical analysis first. Turns out the problem they were solving didn't exist. The data showed no significant relationship. That kind of analysis saves real money.
Any tech person can set up tools. Without the expertise to direct them, you're just automating bad decisions faster. The value is knowing what to build, what questions to ask, and how to see data in ways other people don't.