adriana ricklin

About me

Data scientist with a conceptual mind and a fascination for learning new things. My research interests lie at the intersection of reinforcement learning, uplift modeling, and causal inference, primarily within the domain of marketing and e-commerce.

Roles

Currently, I hold the following roles:

• PhD candidate
  at Eindhoven University of Technology. I focus on sequential decision making methods for settings of constraints or multiple objectives in e-commerce.


• research associate
  at the Institute of Communication and Marketing at Lucerne School of Business. This position takes place in an applied setting, typically in collaboration with industry partners, where my focus is on real-life marketing-related data science challenges.

Publications

A list of my work is on Google Scholar, whereas an even smaller selection is featured below

• The Power of Session-Level Data: Predicting Return Intent Along the Browsing Journey – where we explored whether return intent can be (somewhat dynamically) inferred from clickstream data along the purchase process. (Spoiler alert: Yes, this is possible).


• Forecasting is all we need: Adapting graph neural network methods for a peer-to-peer sharing economy platform – where we adapted Graph Neural Network models from basket and traffic prediction to forecast product popularity in complex, data-sparse two-sided marketplaces.

Papers I like (randomized)

Interested in a second one? Refresh the page to get a (maybe) different recommendation.