Enrico Dai

• Getting requirements from clients and implementing data science solutions in Python • Doing data science interviews

• Worked on machine learning models in Python based on car sensor data • Developed interactive R Shiny dashboards to better analyse the data

• Created interactive web applications by using R Shiny, Rstudio server, MongoDb and external API • Automatized and made more efficient some internal tasks • Built a model to identify the most relevant variables for CTR (click through rate)

At the Red Cross I am supporting the Data Team with my coding skills in R and I helped two master students with their machine learning thesis. I also worked on maps, in R and QGIS.

I built an interactive html dashboard from scratch in R on Amazon web services (with EC2 and S3) taking the data from multiple sources: a NoSQL database (MongoDb); a PostgreSQL database, Json files, a REST API... In that dashboard I implemented many features and useful analysis statistical. I used many different R packages regarding: data tables, maps, pivot, time series, interactive java widgets...