Stefan Brunhuber's Linkedin Analytics

www.stefanbrunhuber.com I am an experienced Full Stack Data Science & Engineering Leader, specialized in Climate Analytics & Risk Modeling. I enjoy building cutting-edge cloud-based solutions, infrastructure & systems to orchestrate and extract valuable insights from data. Currently, I am dedicated to physical climate risk modeling such as of wildfires, heatwaves, floods, and more leveraging downscaled climate model data & advanced statistical modeling. My aim is to provide actionable insights that enable proactive measures to mitigate these risks and safeguard communities, assets, and the environment. Topics I worked on: ● Climate Risk & Opportunities Modeling, Climate Data Engineering, Software Development, Distributed Computing, Geospatial Analytics Platform (GCP) ● Data Science Platforms with RShiny & Python - APIs + Data-Pipelines + Analytics + ML-Models + Visualizaton + Deployment (CI/CD, Docker) ● Product Recommendation Engines (Collaborative Filtering) - Architecture - Model Training & Deployment ● Coordination & Execution of Data Science & ML projects with external partners (Universities, etc) Current Tech Stack - GCP & Azure - Planetary Computer - Linux - Python (xarray, dask, ...) - Gitlab/Git - Docker - BigQuery, CloudCompute, Apache Beam, CloudRun,... Models I used - Classification Models (Decision Trees, XGBoost, CatBoost/Shap) - Clustering Models (PCA, K-Means, DBSCAN) - Collaborative Filtering Models for Product Recommendations - Deep Learning w. PyTorch (Sequence Clustering - LSTM & CNN) - Time Series Analysis and Forecasting (Bayesian, GAM, ARIMA) - Extreme value theory (GEVD, POT) - Generalized Additive Models (GAM)