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Pesalink Fintech AI Hackathon Project: Fake Account Detection
Machine learning model to detect fraudulent accounts for secure batch account validation in high-volume payment processing. Performed feature engineering and data exploration on fintech datasets to identify malicious activity.
Overview
This project was developed for the Pesalink Fintech AI Hackathon to detect fake accounts in high-volume payment processing. It addresses the problem of fraudulent accounts in fintech systems by using machine learning for secure, scalable batch validation.
Problem Statement
Fintech platforms processing large volumes of transactions are vulnerable to fake or fraudulent accounts, which can lead to financial losses and security risks.
Solution & Features
- Machine learning model for fraud detection
- Secure batch account validation
- Feature engineering and data exploration on fintech datasets
- High model accuracy and low-latency processing
Tech Stack
- Python
- Scikit-learn
- Data Analysis
- Pandas
- Matplotlib