Shlomo Lahav

Shlomo is the architect behind Amadesa’s Software as a Service (SaaS) personalization technologies and provides strategic guidance for our software platform. Shlomo draws upon his technical expertise from the financial, web, medical, and other industries to build business solutions that result in dramatic increases to our clients’ revenue streams.

Shlomo’s ability to capitalize upon his experience in data mining, machine learning, text processing, simulations, analytic and hybrid domain modeling brings a vast breadth and depth of knowledge to Amadesa’s development team.

Prior to joining Amadesa, Shlomo was Chief Analyst with CAL, Israeli Credit Cards where he focused on risk modeling and customer value optimization and the Algorithm Team Leader with Schema where he led the development of optimization algorithms for cellular communication.

With a BS in Physics and Math from Hebrew University in Jerusalem and a MS in Operations Research from Tel Aviv University, awarded with distinction, Shlomo is a recognized algorithmic expert.

Shlomo is currently completing his PhD in Operations Research at Tel Aviv University. A published expert, he holds seven patents and has several others pending.