AML Checker detection and analysis tools for cryptocurrency transactions using machine learning and blockchain data. Ensuring compliance and reducing money laundering risks.

The project involves developing a Python script for the Fintech DataLab Challenge23, utilizing a linear regression model to forecast client transactions and predict transaction amounts based on historical data for a leading fintech company.

Applying SQL skills to analyze historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions.

The goal of this blockchain exploration project is to utilize BigQuery to explore the blockchain of a chosen cryptocurrency (BTC).

AML Checker detection and analysis tools for cryptocurrency transactions using machine learning and blockchain data. Ensuring compliance and reducing money laundering risks.