Chris Kunze

Professional Advisor & Data Scientist

Chris Kunze is a multi-lingual data scientist with over 15 years of experience predicting employee performance, retention and safety. Assisting hundreds of companies all over the globe implement job applicant screening Assessments and leadership Surveys, Kunze uses machine learning algorithms to build and validate predictive models so new candidate and employee data can be scored efficiently and accurately through custom, interactive applications.

Specializations:

  • Pre-Hire & Coaching Assessments
  • Predictive Dashboards/Scorecards
  • Data Mining
  • Models/Optimization/Simulation
  • Performance Improvement
  • Key Performance Indicator Analysis
  • Sales Action Plans
  • Predictive Model Markup Language (PMML), cf. dmg.org
  • IBM SPSS / Statistical Analysis
  • Frontline Solvers Software Certified Consultant

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