Totte Harinen
Totte Harinen is a senior data scientist with Uber Labs, Uber's Applied Behavioral Science team.
Engineering Blog Articles
Using Causal Inference to Improve the Uber User Experience
Uber Labs leverages causal inference, a statistical method for better understanding the cause of experiment results, to improve our products and operations analysis.
Mediation Modeling at Uber: Understanding Why Product Changes Work (and Don’t Work)
Uber Labs leverages mediation modeling to better understand the relationship between product updates and their outcomes, leading to improved customer experiences on our platform.
Research Papers
Uplift Modeling for Multiple Treatments with Cost Optimization
Z. Zhao, T. Harinen
Uplift modeling is an emerging machine learning approach for estimating the treatment effect at an individual or subgroup level. It can be used for optimizing the performance of interventions such as marketing campaigns and product designs. [...] [PDF]
IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2019
Uplift modeling is an emerging machine learning approach for estimating the treatment effect at an individual or subgroup level. It can be used for optimizing the performance of interventions such as marketing campaigns and product designs. [...] [PDF]
IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2019
