Marc Nientker
Marc Nientker transitioned from a successful seven-year academic career in econometrics, where he contributed as a PhD and Assistant Professor, to the business world to apply his knowledge on a broader scale. He co-founded Acmetric, a strategic data science consultancy that focuses on transforming businesses through data-driven insights.
Acmetric specializes in practical applications of econometrics in areas such as pricing, inventory optimization, product allocation, measurement, and more. His expertise supports organizations in understanding and implementing data-centric strategies that naturally lead to more informed decision-making and operational efficiencies.
Sessions
A lot of industry-available Machine Learning solutions for causal forecasting have a very particular blind spot: unobserved confounders. We will present an approach that allows you to combine state-of-the-art Machine Learning approaches with advanced Econometrics techniques to get the better of both worlds: accurate causal inference and good forecasting accuracy.