Statistics:
Generalized Linear Models, Mixed Models, Quantile regression, Generalized Additive Models, Neural Networks, Decision Trees & Random Forests, Time Series Analysis
Projekthistorie
09/2019
-
bis jetzt
Data Science Consultant
(Pharma und Medizintechnik)
Analysis of longitudinal patient data with statistical methods (Mixed models, quantile regression, survival analysis)
Reporting and visualisation of results using R
03/2020
-
06/2021
Data Science Consultant
(Energie, Wasser und Umwelt, >10.000 Mitarbeiter)
Prediction of energy consumption in district heating networks using time series models
Modelling and data cleansing with R and Python
Data Queries from SQL and ElasticSearch databases
Preparation of GIS data
Reporting and visualisation of results
05/2018
-
02/2020
Data Science Consultant
(Automobil und Fahrzeugbau, >10.000 Mitarbeiter)
Development of a predictive maintenance pipeline in R for different automotive components
Reproducible reports and ModelOps using GLM and Random Forest
Implementation of LSTM/GAN neural networks in Python (keras)
Research of methods for interpretable machine learning
01/2018
-
09/2019
Data Science Consultant
(Sonstiges)
Implementation of machine learning models (e.g.random forest, boosting, neural networks) to detect fake applications and predict handling times
Data engineering and feature extraction using text mining and clustering algorithms
Development of a REST-API to serve model predictions in a production setting
Automisation using linux and docker container
Reisebereitschaft
Verfügbar in den Ländern
Deutschland
preferred location is Munich
Senior Data Science Consultant
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