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

A simplified tool that analyzes mock banking transaction data, identifies spending patterns, categorizes expenses, and visualizes results clearly.

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

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.

📊 Interactive Power BI dashboard analyzing PhonePe transactions, users, and regional trends across India.

A complete end-to-end Bank Analytics project analyzing loan data and credit/debit transactions. Includes dashboards in Excel, Power BI, Tableau, SQL-based analysis, and a detailed presentation. Datasets are confidential and not uploaded.

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

The Natixis Fraud Account Detection Workflow - Dataset Preparation & Algorithm

TradeSphere is a cryptocurrency trading platform with real-time price updates, wallet management, facial recognition security, and AI-powered market insights.

A machine learning project that classifies blockchain transactions into categories such as sales, purchases, transfers, scams, and phishing attempts. The project leverages models like Random Forest, KNN, and AdaBoost, with advanced preprocessing techniques to improve accuracy and address class imbalance.

Optimized Bitcoin blockchain analysis platform with shared volume architecture. Neo4j graph database, GraphQL API with Redis caching, and Python analysis tools.

This project is dedicated to analyzing CRM system data for an online programming school.

Application Java de gestion et analyse des transactions bancaires avec détection automatique d'anomalies. Architecture en couches utilisant Java 17, programmation fonctionnelle (Stream API), et persistance JDBC.

"A comprehensive SQL-based analysis of a banking database for 'The Big Bank'. This project explores customer banking behavior, transaction trends, and account management. The analysis aims to optimize banking operations, enhance fraud detection, improve customer segmentation, and increase revenue using data-driven insights."

Bitcoin blockchain analysis platform with Neo4j, GraphQL, and Python tools

A streamlined personal finance dashboard built with Streamlit that helps you analyze bank transactions, track expenses, and manage your financial data. Features include transaction categorization, trend analysis, anomaly detection, and interactive visualizations for better financial insights.

📊 Analyze Bitcoin blockchain data efficiently with a storage-optimized platform that reduces requirements by 25%, maintaining full capabilities.