Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Maren Eckhoff

Maren Eckhoff
Principal Data Scientist, QuantumBlack

Maren Eckhoff is a principal data scientist at QuantumBlack, where she leads the analytics work on client projects, working across industries on predictive, explanatory, and optimization problems. Her role includes defining the analytical approach, developing the code base, building models, and communicating the results. Maren also leads the technical training program for QuantumBlack’s data science team and arranges bespoke trainings, seminars, and conference attendance. Previously, Maren worked in demand forecasting. She holds a PhD in probability theory from the University of Bath.


16:3517:15 Wednesday, 1 May 2019
Data Science, Machine Learning & AI, Expo Hall
Location: Expo Hall (Capital Hall N24)
Secondary topics:  Ethics, Security and Privacy
Maren Eckhoff (QuantumBlack)
Average rating: ****.
(4.50, 4 ratings)
The success of machine learning algorithms in a wide range of domains has led to a desire to leverage their power in ever more areas. Maren Eckhoff discusses modern explainability techniques that increase the transparency of black box algorithms, drive adoption, and help manage ethical, legal, and business risks. Many of these methods can be applied to any model without limiting performance. Read more.