Data Scientist
CurrentI have developed and operationalized multiple models, mostly in the domain oftime series analysis. One of my algorithms is used to find anomalous patterns in our sales data (€300mln/year). This allows us to closely monitor all the different undercurrents in our sales flows, and immediately take action when a particular undercurrent starts to deviate.Other models include generic forecasting models for internal use, and prospect conversion models to fine-tune the pricing process.I have made my models operational as REST API’s using the Flask framework in a Docker container. I built graphical interfaces for certain models using R-Shiny, also operating on the OpenShift container platform.