Manuel Schneckenreither

I am your specialist for Near-Sourcing your Business Tasks regarding…

(i) the Development of AI models (Unsupervised, Supervised & Reinforcement Learning) for your Business case,

(ii) the Optimisation of specific Business Tasks (using exact models, Mixed Integer Linear Models, or Machine Learning, GRASP and other heuristics), and

(iii) the Implementation and Automation of your Business Workflow Processes.

Currently, I am engaged in a project with the insurance company called Zurich, where I am mainly concerned with the implementation and automatisation of workflow tasks for models of catastrophic events (e.g. floodings, earthquakes, or terrorism). Main technologies used: R (R6), SQL, Verisk Touchstone, AON Impact Workbench, Azure DevOps and Github with CI.

Programming Languages: Procedural (e.g. C, R, LaTeX, SQL), Object Oriented (e.g. Java, Python, C++, R see R6) and Functional (e.g. Haskell, OCaml). I have worked with all the mentioned ones, though the list is incomplete.

Clients and Project Partners: Engel Austria, Fraunhofer Austria, SZTAKI (Hungary), Universität Innsbruck, VRVis, Robert Bosch AG, Zurich Insurance Group

Main Tools: Linux, Windows (98, XP, Vista, 7, 8, 10), Databases/SQL (MySQL, Postgres, MS SQL Server), Emacs, LaTeX, MS Office/Libreoffice, Concurrent Programming, Statistics, Machine Learning, Artificial Intelligence (AI), Manufacturing and Resource Planning (MRP), Supply Chain Management, Hierarchical Production Planning (HPP), Optimization (MILP, GRASP, ML and other heuristics), Simulations, Data-Warehouse Systems, Extraction-Transformation-Loading Process.

Main areas of research knowledge: Operations Research, Production Planning, Order Release, Machine Learning, Simulation, Reinforcement Learning, Optimization, Statistics, Runtime Complexity Analysis.

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