After 25 years of applying quantitative models to real world problems, I get as excited today as I did back then when seeing how my statistical models help improve decision making processes, reveal new insights, and help my company succeed. My professorial days in academia taught me how to manage and lead research projects beginning with conception of the research question to delivery of a final report that was readable and actionable. Applying these skills in the tech industry is enjoyable and challenging. Advances in the field of data science are happening at break-neck speed and I love it. Working on projects ranging from NLP, deep learning, to classic stochastic models make for an exciting work day. The best part of my job are the colleagues with whom I work. I manage a team of brilliant data scientists analysts and engineers who have a wide variety of talents. Each brings their personal strengths to the group and are willing to share their knowledge for the betterment of the team and the projects we work on. They are consistently teaching me new modeling techniques and how to be more efficient when coding various algorithms. Our goal is to help improve our bottom line while adhering to solid scientific principles.