Data Science

I believe in strategically applied Data Science that is implemented not as a (Big Data) Hype but rather as a tool to move an organisation forward in achieving it’s mission.

Based on Bernard Marr’s SMART Data I cover 5 topics with tools and checklists to ensure Data Science is applied effectively and efficiently.

Strategy, Data, Analytics, Visualisation (Reporting) and Monitoring Implementation.

I work solely in R, the home of the tidyverse! Systematically sticking to the tidy data principles results in effective, easy to read R code. The combination of the dplyr, tidyr, purrr packages in combination with personal custom functions are the perfect preparation for any of your desires. Whether your desires are heavy machine learning, static reports or interactive visuals. The tidyverse does it all with its numerous fitting packages.

I also build Data Products in R. Let me take of building your packages, functional coding, Shiny apps and R Markdown.