Christian Ruf - Manager Intelligent Industry & Data Analytics

Asunción, Paraguay

Experience

Jan 2022 - Dec 2023

2 years

Germany

Manager Intelligent Industry & Data Analytics

Capgemini Invent

Jun 2021 - Present

4 years 7 months

Data Analyst

Independent

Mar 2020 - Dec 2021

1 year 10 months

Germany

Manager Operations Research

Bain & Company

May 2017 - Dec 2018

1 year 8 months

Austin, United States

Research Stay

University of Texas at Austin

Dec 2013 - Nov 2019

6 years

Ph.D. at the Chair of Operations Management

Technical University of Munich

Oct 2010 - Sep 2013

3 years

Master's in Information Systems

Technical University of Munich

Oct 2007 - Sep 2010

3 years

Bachelor's in Business Informatics

University of Applied Sciences for Engineering and Economics Berlin

A digital twin of an offshore wind farm

Developed a digital twin for a utility provider (21,000 employees, USD 17 bn revenue) to understand wind farm operations and maintenance requirements
Simulated scenarios featuring boats, helicopters, and maintenance crews
Analyzed profitability, operating costs, and service levels to support contract negotiations

Optimized A/B-testing for marketing science

Enhanced an initial mathematical optimization model to form control and test groups for marketing experiments at Bain & Company (19,000 employees, USD 6 bn revenue)
Transformed the model into a reliable tool handling diverse use cases
Implemented a Tabu search heuristic for complex cases
Deployed the tool as a web app using the Dash library

Sales territory optimization

Advised a medical devices producer (4,000 employees, USD 1.2 bn revenue) on new sales territories after a merger
Used historical sales volume data and two algorithms integrated into a spreadsheet
Provided an initial solution that the client continued using as changes occurred

Supply chain network design optimization

Built a mathematical optimization model and dashboard to evaluate the production footprint of a food producer with 3,500 employees and USD 1.4 bn revenue to consolidate their network
Enabled competition with low-cost vendors by recommending site closures, leading management to shut down 10 of 13 sites

Supply chain network design optimization

Built a mathematical optimization model considering multiple distribution channels (brick-and-mortar, e-commerce, dropshipping)
Developed a Tableau dashboard to visualize solutions and KPIs (speed-to-customer, operating costs, capital expenditures)
Supported implementation of a strategy to extend stores with picking and packing areas for high e-commerce service levels

Summary

I help businesses make better decisions by leveraging advanced analytics. I have a Ph.D. in operations research and experience solving challenging business problems in manufacturing, the food industry, retail, and the air-traffic industry.