I use my experience in econometrics, statistics, data science, programming, and machine learning and education to deliver solutions. I love exploring data, creating models, uncovering hidden correlations, causal relationships, and trends, and most importantly, communicating these findings in a usable, intelligible way. Most mid-size businesses find that they are awash in disorganized data; every manager wants to be “data-driven”, but the data provided “insights” are an idea somewhere between a commodity or boilerplate. But this last step – sifting through the insights, and creating reliable, actionable recommendations – is where the real value of the entire process comes in.My passion lies in viewing through the lens of the "what" has been captured, and for "why". That is, identifying the problems, frictions, and pain-points that the collected data and potential models can provide clarity and "insights" for. But most importantly: creating communicable, actionable, defensible, value-adding recommendations from the findings.One of the best compliments I've been paid was with regard to some of my research. After evaluating my work, a colleague told me I had a gift for explaining complicated processes and models in lay language. That’s what I strive for: high-level analysis that everyone can be effectively passed on. That approach may not win you points in research academia, but in business, it means everything.