Christian (D.) Ruf

Manager intelligent industry & data analytics

Asunción, Paraguay

Experience

Jan 2021 - Dec 2023
2 years
Germany

Manager intelligent industry & data analytics

Capgemini Invent

Jun 2021 - Present
4 years 2 months

Data analyst (independent)

Mar 2020 - Dec 2021
1 year 10 months
Germany

Manager Operations Research

Bain & Company

May 2017 - Dec 2019
1 year 8 months
Austin, United States

Multiple Research Stays

UT at Austin

for joint research with J. F. Bard

Dec 2013 - Nov 2019
6 years
Munich, Germany

Ph.D.

Chair of Operations Management, Technical University of Munich

Workforce planning in manufacturing and services PhD thesis

A digital twin of an offshore wind farm

For my client, a utility provider (21000 employees, 17 billion USD revenue), I have built a digital twin to get a better understanding of the wind farm operations and maintenance requirements for contract negations with a service provider. My simulation model allowed us to analyze profitability, operating costs, and service levels for scenarios featuring boats, helicopters, and maintenance crew.

Optimized A/B-testing for marketing science

My client (Bain & Company, Management consulting, USA, 19000 employees, 6 billion USD revenue) had built an initial mathematical optimization model to form control and test groups out of a population that lacked several capabilities and could have performed better under certain circumstances. I took over the development of the model and transformed it into a reliable tool capable of handling a wide range of use cases. I have also built a Tabu search heuristic for particular complex use cases. We made the tool accessible to external and internal end users as a web app using the Dash library.

Sales territory optimization

I have advised a producer of medical devices (4000 employees, 1.2 bn. USD revenue) regarding their new sales territories after a merger with another company. I used data on historical sales volumes and two algorithms integrated into an easy-to-use spreadsheet. My client used the initial solution as a starting point. Moreover, despite the tool being intended for a one-time analysis, the client continued using it when changes occurred.

Supply chain network design optimization

I have built a mathematical optimization model and dashboard to evaluate the production footprint of a food producer with 3500 employees and 1.4 bn USD revenue to consolidate their network so that they could compete with low-cost vendors entering the market. Management ended up shutting down 10 of the existing 13 sites.

Supply chain network design optimization

I have built a mathematical optimization model to optimize my client’s network design, considering several distribution channels (brick-and-mortar business, e-commerce, dropshipping, ...) and a Tableau dashboard to visualize the solutions and KPIs (speed-to-customer, operating costs, capital expenditures, ...). Finally, management implemented a strategy to extend specific stores with picking and packing areas to achieve a high service level for their E-commerce business.

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.

Languages

German
Native
English
Advanced
Spanish
Intermediate

Education

Dec 2013 - Nov 2019

Technical University of Munich

Ph.D. · Operations Research · Munich, Germany

Oct 2010 - Sep 2013

Technical University of Munich

Master’s in Information Systems · Information Systems · Munich, Germany

Oct 2007 - Sep 2010

University of Applied Sciences for Engineering and Economics Berlin

Bachelor’s in Business Informatics · Business Informatics · Berlin, Germany