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English
$
USD
I will perform a forensic audit and integrity validation of your data
About this Gig
Is your data telling you the whole story or just what a bot wants you to hear?
As AI-automated fraud becomes industrialized, standard analytics are no longer enough. I specialize in Forensic Data Auditing, using advanced statistical modeling to detect the "Uncanny Valley" in digital information. Whether you are dealing with Bitcoin investment scams, synthetic identity fraud, or automated bot traffic, I provide the mathematical proof you need to mitigate risk.
Why choose this audit? I don't just "clean" data; I investigate it. Using R (Tidyverse, Tidymodels) and SQL, I identify "Red Spike" signaturespatterns of low linguistic entropy and lexical rigidity that are the hallmark of AI-driven deception.
What you will receive:
- Deep Pattern Analysis: Identification of anomalous distributions and behavioral outliers.
- Machine Learning Validation: Random Forest models with high cross-validation accuracy to categorize risks.
- Visual Evidence: High-contrast ggplot2 visualizations, including Feature Importance and Risk Density plots.
- Actionable Strategy: Clear, non-technical summaries that translate "Linguistic Entropy" into business-ready security steps.
My Portfolio
FAQ
How do you detect AI-generated or "Synthetic" text?
I use Linguistic Entropy analysis to measure the randomness of the text. Human writing is naturally "messy" and high-entropy, while AI-generated lures often show "Lexical Rigidity"—a statistical flatness that my models flag as a synthetic signature.
Is my data secure and confidential?
Absolute confidentiality is standard. I am happy to sign an NDA for sensitive audits. Once the audit is complete and the project is closed, I purge all client datasets from my local environment to ensure total data integrity.
Can you handle large or messy datasets?
Yes. I specialize in the "Tidyverse" workflow in R, which is designed to handle complex, unstructured data. Whether you have 10,000 rows of chat logs or a messy SQL export, I can clean, parse, and transform it for forensic analysis
What is the "Random Forest" model you mentioned?
It is a powerful Machine Learning algorithm I use for Classification. For example, it helps determine the probability of a transaction being "Fraudulent" vs. "Legitimate" by analyzing dozens of variables (features) simultaneously and ranking which ones are the most suspicious.
Can I use your report for legal or board presentations?
While I provide a professional technical audit, my reports are for internal investigative purposes. If you need an Executive Summary designed for non-technical stakeholders, please select that Gig Extra and I will translate the data into clear, actionable insights for your board.
