Uwe Pritzsche

Consulting, implementation, operationalization of ML/AI-based analytics projects like Next Best Product Scoring, Predictive Maintenance, Market Price Prediction, Fraud Prevention, Churn Prediction, Insurance Claim Prediction, Image Recognition/Classification, Causal Analysis, Clinical Study Data Analysis or Early Cancer Detection for various customers using mainly SQL, R, Python, Keras & Tensorflow, XGBoost & LightGBM, MS Azure (MLOps), Git, Docker

Analytical consulting for technical and business departments including actuarial units (life and non-life). // Development of a self-service analytics platform with associated Hadoop data management. // Several projects and use cases in the field of analytics: Implementation applying various statistical methods and Machine Learning algorithms for Text Mining, Survival Modelling, Telematics Data Analysis, Time Series Forecasting, Clustering using mainly R and SAS

Predictive Modeling & Text Mining (11 months) // SAS Consulting for BI & Olap (2 years)

Risk Expert (0.5 years) // BI-Architect(1.5 years)

SAS based implementation of biostatistical analysis studies

Technical Expert BI & Olap (6 years) // SAS Trainer (1 year) // Consultant (2 years)

Specialization: Predictive Modeling, Machine Learning (Bachelor and Master Thesis), Text Mining (Statistical consulting project at Allianz), Time Series Forecasting (Master Thesis)