Januar 2022 - November 2022 (10 Monate)
Berlin, Germany
Enabled local operations to use levers at scale, provide guidance to the Product team, and explore
new applications of products and levers for the local markets.
Implemented a tool suite and framework for adjusting rules to optimize the usage of Dynamic Pricing
(DP) in local operations, creating a proven process for systematic adjustments with minimal manual
effort.
Created a fully automated solution to replace the existing semi-automated pricing model, in
collaboration with the Product and Data Science teams, providing robust pricing decisions that were
fully explainable to business owners.
Coached local operations specialists in designing and executing experiments, running pricing
analyses, and making data-driven decisions, including technical training and code reviews.