• A look at the key roles in Data Science
  • Karlijn Willems, Datacamp (2015). The Data Science Industry: Who Does What (Infographic)

I have been working with Yoshie as a research assistant since the start of the summer. I was very excited to get onboard and do pricing analytics work, which has not been done before here at executive education, and is also a field that I enjoy very much. Here at the lab I have been working on all things revenue and cost, through various aspects of pricing that range from price optimization to modelling the program choices of our customers

I am most passionate about price optimization, finding an optimal price point for product is a notion that just really appeals to me. In addition, I am also very passionate about the intersection of machine learning and business analytics with pricing. This is the area where I use statistical models to estimate our customers’ behavioral response to pricing, such as in the estimation of price-response functions and fitting choice models.

The biggest challenge I faced in the process is dealing with missing data and lack of price variability. These problems one has to come up with unconventional ways to approach a problem, because the standard ways end up not working anymore.