Sameer Mukherjee

Sameer Mukherjee is an economist and statistician within the Forensic & Litigation Consulting segment at FTI Consulting. Sameer applies statistics, econometrics and economic theory to solve complex business problems and intricate data challenges. He has extensive experience using econometric modeling techniques to quantify “but for” economic damages and assess liability, and has utilized statistical sampling techniques for the extrapolation of key metrics to a population of interest.

Sameer’s main areas of expertise are in econometric modeling, statistical sampling and extrapolation, simulation analysis, assessments of antitrust and competition issues and big-data analysis. He has designed statistical sampling methodologies to identify upcoding and quantified overpayments for Medicare and Medicaid reimbursed healthcare services. In addition, his work in statistical sampling and extrapolation has been applied in healthcare — False Claims Act (Qui Tam) matters; Zone Program Integrity Contractors (“ZPIC”) and Unified Program Integrity Contractors (“UPIC”) audits; Office of the Medicaid Inspector General (“OMIG”) and Office of the Inspector General (“OIG”) investigations — as well as other industries, such as finance and shipping. Sameer is well-versed with the sampling guidelines and protocol across different government agencies and has many years of experience with statistical software used in sampling analysis, such as RAT-STATS. Additionally, he has used Monte Carlo simulation techniques to analyze the statistical properties of different estimation methodologies.

Sameer has utilized a variety of econometric methods to address his clients’ needs, including propensity score matching, discrete choice modeling, time series analysis and linear and non-linear regression analysis. He is also an experienced programmer with software commonly used for data analysis and quantitative modeling — such as Stata, SAS, SQL and Python — and has experience with big-data platforms, such as Amazon Redshift. Sameer’s work in litigation and non-litigation engagements spans a range of industries, including automobile pricing, cable television, environmental nuisance, finance, healthcare, insurance, manufacturing, online advertising and shipping.

Prior to joining FTI Consulting, Sameer was a Director at Berkeley Research Group working on matters involving antitrust economics and statistical sampling and extrapolation. He also taught intermediate microeconomics at Rutgers University and was a guest lecturer for law and economics in the graduate economics program at CUNY Hunter. Sameer received a B.A. in mathematics from Boston College and an M.A. in economics from Rutgers University.

Relevant Experience:

• Developed a hedonic regression model to quantify cable operators’ willingness to pay for channel features
• Designed a regression model to quantify the but-for LIBOR rate if panel-bank rate suppression had not occurred
• Used simulations to study the statistical properties of low-frequency spread measures
• Designed statistically valid random samples for damages estimation