Feature database review

Thousands of predictors available for every Data Scientist

Are you aware that many data science teams spend 80% of their time on data preparation. For several clients, we teamed up with their internal Data Engineers to further expand their in-house feature database. This allowed Data Scientists and Data Analysts to focus immediately on Data Science instead of spending their time on data wrangling.

We have brought together data from multiple sources, added specialized features and organized the procedures into robust and clear blocks. Implementation of such an important data product included extensive testing from both business and technical perspectives.

#AWS #Redshift #EMR #Python