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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. 


Data Analysis

Overlapping qualitative data like that contained here is translated into metrics for quantitative an

Overlapping qualitative data like that contained in the above email can be translated into metrics for quantitative analysis

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Statistical trends analysis discerns relevant data, correlated groups & provides predictive insights

Analytics

Cross Referenced materials provided the foundation for the BP analytics to detect fraud. 











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Qualitative intelligence translated into fraud analytics

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First Generation analytics were derived from partial reports

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Initial metrics were created for analysis

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Indicia of a much larger scheme involving 'ghost' (non-existent) claimants became evident even from this first, primitive version of fraud analytics. 

Downloads

Big Data Analytics are Necessary to Fight Unique Fraud by Katherine Moore (pdf)

Download

Skills

Data Analysis

Fraud Examination 

3+/4 ILR Spanish Language Proficiency

1/1+ ILR Russian Language Proficiency

Foundation America, LLC

Twitter Account

Member

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