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Gururaj-GJ/README.md
Gururaj G J

👋 Gururaj G J

👋 Hi, I'm Gururaj G J

Fraud Intelligence Specialist & Risk Systems Researcher based in Bengaluru🌍

LinkedIn GitHub Email Portfolio

Profile Views GitHub followers GitHub stars


🎯 About Me

Fraud Intelligence Specialist. Risk Systems Researcher. Founder – Zarelva.

I work on fraud detection systems, digital investigations, and AI-assisted fraud analysis across payment ecosystems and online platforms. With 6+ years across Amazon, Google, Flipkart, and G2 Risk Solutions, I've investigated fraud networks, automated investigation workflows, and built systems that correlate activity across accounts, devices, and behavioral patterns. Founder of Zarelva – a consulting initiative focused on fraud intelligence and risk architecture.

Experience Specialization Focus

💼 What I Do

🔍
Fraud Detection
Detect and investigate complex fraud schemes across payment ecosystems
🤖
AI Automation
Design AI-powered automation solutions that cut investigation time by 80%+
📊
Predictive Analytics
Build predictive analytics tools and dashboards for real-time fraud detection
🧠
ML Models
Develop ML models for healthcare and fraud prevention applications
🌐
Global Collaboration
Collaborate with global law enforcement & cross-functional teams

🏆 Career Highlights

G2 Risk Solutions 🎯

  • ✅ Architected SharePoint repository saving 15+ analyst hours weekly
  • ✅ Developed AI investigation accelerator reducing case resolution time by 80%
  • ✅ Automated fraud detection workflows improving accuracy by 65%

Razorpay 💳

  • 🏆 Processed ₹15+ crore disputed transactions with 95% accuracy
  • 🚀 Built Python automation tools reducing manual work by 70%
  • 📈 Improved chargeback win rate from 45% to 78%

PayU India 🌟

  • 🔒 Prevented ₹2+ crore in fraudulent transactions
  • 🏅 Achieved Best Performer Award for fraud detection excellence
  • 🤝 Led cross-team initiatives improving merchant onboarding by 40%

🚀 Featured Projects

🩺 Cancer Survival Predictor 🔍 Loan App Investigation 💰 Payment Fraud Analytics
Cancer Investigation Analytics
Machine Learning model predicting cancer survival rates with 89% accuracy Comprehensive malware analysis of fraudulent loan applications Hugo-based payment fraud analytics dashboard
Python Scikit-learn Pandas NumPy Cybersecurity Malware Analysis Digital Forensics Hugo JavaScript Data Visualization

🛠️ Tech Stack & Tools

💻 Programming Languages

Python R JavaScript SQL HTML5 CSS3

🤖 AI/ML & Data Science

Scikit-Learn Pandas NumPy Matplotlib Seaborn TensorFlow

🛠️ Tools & Platforms

Jupyter VS Code Git Docker AWS SharePoint

📊 Analytics & Visualization

Tableau Power BI Excel Google Analytics


📊 GitHub Stats


🎓 Certifications & Education

🎯 Certification 🏢 Issuing Organization 📅 Year
AWS Amazon Web Services 2023
Python Coursera 2022
Security IBM 2021

🤝 Let's Connect!

💬 I'm always open to discussing:

🔹 Fraud Prevention Strategies | 🔹 AI/ML Applications in Risk Management

🔹 Career Opportunities | 🔹 Collaboration on Projects | 🔹 Knowledge Sharing

📫 Reach Out:

📧 Email: gururaj.gj.guru@gmail.com

💼 LinkedIn: Gururaj G J

🌐 Portfolio: View My Work

📱 Phone: +91 8971599238


⭐ If you find my work interesting, feel free to star my repositories! ⭐

Thanks

Made with ❤️ Open Source Maintained

Pinned Loading

  1. profile-hub profile-hub Public

    Professional Portfolio - Fraud & Risk Specialist

    HTML

  2. fraud-signal-library fraud-signal-library Public

    A structured reference library of fraud detection signals — device, network, behavioral, and transaction indicators used in fraud intelligence and risk architecture.

  3. zarelva-agent-risk-engine zarelva-agent-risk-engine Public

    Fraud risk scoring engine for autonomous AI agents. Detects behavioral anomalies, delegation abuse, and coordinated agent activity.

    Python