Nicola Donelli is Lead Data Scientist at CGnal.
In CGnal he’s working mainly on projects in Retail, Finance and Energy, applying Machine Learning algorithms and Statistical Models to answer questions from our clients. He also takes responsibility of project management, direct interaction with clients and support junior colleagues.
As a PhD student he developed a model for Bayesian Semiparametric analysis of multivariate multiplicative error models applied to financial econometrics.
He is proficient with R, Python and Matlab and he also used Scala. When in distributed environments, he works mainly with Hive, Impala and PySpark/SparkR/ScalaSpark.