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SHA Analytics, LLC provides management consulting, quantitative analysis and research services to support sustainable infrastructure projects, programs and policies in the fields of transportation, water, energy, environment and sanitation. Our approach involves developing analytical frameworks, informed by available data and expert opinion, to quantitatively assess the implications of projects, programs, and proposed policy changes in terms of costs, benefits, and risks, to assist business or organizational decision-making under uncertainty. Our expertise includes: Quantitative Cost and Schedule Risk Analysis and Risk Management utilizing Monte Carlo Methods; Benefit-Cost Analysis, including Triple- Bottom-Line and Return-on-Investment Studies; Life-Cycle Cost Analysis and Cost-Effectiveness Analysis; Public-Private Partnerships and Alternative Delivery Methods Evaluation, including the Assessment of Risk Exposure and Risk Transfer; Financial Analysis, including Financial Modeling, Forecasting, and Cash Flow Analysis; Descriptive and Exploratory Data Analysis; Decision Support Tool Development; and, Policy Analysis and Research. Our recent clients includes: Los Angeles County Metropolitan Transportation Authority California Department of Transportation Los Angeles World Airports City of Los Angeles City of Inglewood Southern California Regional Rail Authority (Metrolink) The Port Authority of New York and New Jersey Bay Area Rapid Transit District (BART) Capitol Corridor Joint Powers Authority Illinois Department of Transportation US Department of Transportation San Diego Association of Governments Several major engineering and financial consulting firms

SHA Analytics, LLC Questions

The SHA Analytics, LLC annual revenue was $1 million in 2026.

Sara Amiri is the Founder and President of SHA Analytics, LLC.

2 people are employed at SHA Analytics, LLC.

SHA Analytics, LLC is based in Los Angeles, California.

The NAICS codes for SHA Analytics, LLC are [54169, 541, 54, 5416].

The SIC codes for SHA Analytics, LLC are [874, 87].

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