Collaborated with the executive director of a prominent Polo institution to design and implement a unique, research-based Polo rating system. This sophisticated rating model was developed over a substantial period, reflecting the nuances of the sport and its participants. The resulting system was integrated into an intuitive, Python-based dashboard, which was successfully marketed to various Polo organizations worldwide.

To augment the depth and applicability of this system, we introduced an innovative feature for simulating hypothetical match ups. By leveraging the principles of the Elo rating system, this functionality allowed for the accurate prediction of outcomes for any given pairing, even those not previously encountered in real matches.