Mike Raddatz

Data Science consultant in the fields customer analytics for various industries: -Developing and implementing several Customer Lifetime Value models -Modeling and implementing several recommendation engines (Next-Best-Offer) -Build various reports for customer analytics (PowerBI) -Developing a sales forecast system with time-series data -Developing an automated address correction model -Customer Clustering -Persona matching -CRM & Analytics Strategy Consulting -Project management

Data analyst reporting directly to the CIO. Company wide go-to-person for business divisions regarding analytical questions and reporting requirements. Most relevant challenges: • Global utilization forecast using Salesforce pipeline • Conducting several sales and marketing analysis on Salesforce data • Developing a sales prediction models on Salesforce opportunities • Monte-Carlo simulation of company wide risk scenarios • Implementing Tableau

Spezialisierung in Ökonometrie. Thesis: Comparing different indices of macroeconomic uncertainty (Multivariate time series study with SVAR model)