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Experience and Proven Methods

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Creating Fraud Analytics for the BP Deepwater horizon Fraud

Qualitative and Quantitative Data is analyzed first.

Patterns are discerned to create actionable intelligence. In this case, the  formula derived from this analysis resulted in an algorithm that discovered an organized BP Texas deckhand fraud scheme equal to over $2.3 BILLION. 


Algorithms created from this analysis discovered over 40,000 synthetic identities (the claimants did not exist). 



  

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Synthetic Identities were analyzed for organization before referring to Federal authorities

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Below articles directly reference actors in my above email

The Atlantic, "The Lawyer Whose clients Didn't Exist"The New York Times "Indictment Ties Lawyer to Fraud in BP Spill" Lousiana Record

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Article in the Fraud Examiner published by the ACFE

Big Data Analytics are Necessary to Fight Unique Fraud 1 (pdf)

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Conducting a meaningful statistical trends analysis on gathered data means formulas can then be created to discern patterns in the data and yield actionable intelligence based on pre-defined parameters. 







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