This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
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Updated
May 13, 2024 - Jupyter Notebook
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
Python app for detecting credit card frauds using a graph database
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
MISP (core software) - Open Source Threat Intelligence and Sharing Platform
Radient turns many data types (not just text) into vectors for similarity search, clustering, regression analysis, and more.
This notebook explores fraud detection using various machine learning techniques.
Prism web
🛡️ Welcome to our Credit Card Fraud Detection project! 💳 Harnessing the formidable prowess machine learning, we're steadfast in our mission to fortify your financial stronghold against deceitful adversaries. Join our crusade for financial resilience,Ensuring every transaction is securely monitored! 🔐💯
Protect your SIP Servers from bad actors at https://sentrypeer.org
Jube is an open-source software designed for monitoring transactions and events. It offers a range of powerful features including real-time data wrangling, artificial intelligence, decision making, and case management. Jube's exceptional performance is particularly evident in its application to fraud prevention and abuse detection scenarios.
An iOS application that showcases the capabilities of Fingerprint Identification SDK.
Distributed Networks Institute
Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com
A sample iOS project integrating the ComplyCube SDK.
Prove that the pooling of data from different banking players provides added value for the detection of fraudulent transactions.
This is an UPDATED deep statistical data analysis of the 2020 Presidential Race at the federal, state, and local county level. Benford's Law analysis was conducted at each level to detect for ballot fraud and manipulation.
3D passive Face Liveness Detection Android SDK which can detect printed photos, video replay, 3D masks, and deepfake threats
Face Recognition Face Liveness Detection Android SDK (Face Detection, Face Landmarks, Face Anti Spoofing, Face Pose, Face Expression, Eye Closeness, Age, Gender and Face Recognition)
A demo signup page that uses Fingerprint Pro to detect attempts of creating fake accounts
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