Data scientist who has spawned and led multiple data science and ML teams
Deploying ML to production is hard. Nicholai will show you how to make it easier.
He runs highly efficient teams that build machine learning and data science products.
His projects apply agile methods with a clear and predetermined outcome as the goal.
Nicholai's primary training is within time-series and sequence data. This comes from time spent at university studying econometrics at University of Copenhagen which has given him deep theoretical knowledge of statistical estimators for linear and logistic regression. Over time, he has adapted to popular Python packages such as Scikit-learn, Tensorflow, PyTorch, Statsmodels, Scipy and several others for statistics and machine learning.