Jorge Sirgo


For more than 25 years, Mr. Sirgo has provided data science and economic consulting expertise using machine learning and other statistical methods combined with a unique ability to visualize, present, translate, and communicate patterns in complex and large data to address various business applications.

Mr. Sirgo’s expertise includes estimating liability from future bodily injury claims to project the cost to resolve current and future claims, evaluate insurance recovery, estimate reserves, and facilitate corporate restructure. In addition, Mr. Sirgo also calculates and critiques estimates of lost earnings and benefits in class actions related to unpaid overtime pursuant to the Fair Labor Standards Act. He uses statistical analyses to quantify, validate and critique opposing expert’s estimates of business loss interruptions resulting from cyber-attacks. Mr. Sirgo also employs statistical sampling techniques to design, evaluate, and critique statistical samples in the determination of damages and validation of audits.

He earned a Master of Arts in Public Finance and Regulation from the University of Chicago, and a Bachelor of Arts in Economics from the University of Pennsylvania.

Areas of expertise