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Katherine Moore, JD/MS, CFE
Data Analysis, Fraud Analytics

Juris Doctorate, Master of Science and 5+ years of quantitative and qualitative data analysis experience.

Eng./Esp/Rus.

My Background

My Experience

Quantitative and Qualitative analysis, Sabermetrics and Statistical Trends and Regression Analysis.

Analysis included creation/expansion of a basic regression for a large population as provided by the following:

∑Q1 revenue2007-2009 /3= Δr1; ∑Q2-4revenue2007-2009/3= Δr2-4, r=revenue for each month/n months A= Δr Q12010 B=Δr q2-42010

Where:

(x+a)^n=∑_(k=0)^n〖(n¦k) x^k a^(n-k) 〗

f(x)=a_0+∑_(n

Past Projects

In 2013 and 2014 I created an algorithm for the BP oil spill compensation team characterized by the hybridization of a Bayesian multi-variate non-linear regression expressed as a two-tailed non-centralized hypergeometric distribution in a closed system without replacement. Algorithms were created to identify relationships and patterns in unstructured data.

This analysis was used to detect organized fraud, discovered the Watts & Guerra scheme and uncovered over $2.3 billion in fraudulent claims filed against the BP Settlement. Findings were submitted to the Freeh Group and other agencies.

Additional prior projects include large-scale: Anti-Money Laundering, Securities, Probate Fraud and Insurance Fraud reviews and analytics.