Ruben has over 35 years' experience delivering comprehensive solutions to clients’ most complex data-analytic challenges. He has extensive expertise in identifying and integrating appropriate types and sources of data (including client-proprietary, third-party, government, and open-source), developing robust and efficient algorithmic and analytic methodologies, and providing deep insights into complex systems with compelling and easy-to-understand narrative, graphical, and quantitative presentations. He has broad experience developing parallel and distributed processing solutions using diverse methods such as graph-theoretic pattern detection and analysis, trend analysis, population clustering and segmentation, modeling and simulation, and many others.More...