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astha2310/README.md

Hi, I'm Astha

M.S. Information Technology from Arizona State University. GPA 3.93.

I build security systems and data tools from scratch using real data. Not tutorials, not sandboxes — actual threat feeds, actual transactions, actual security events.

What I've Built

CyberShield — A live SOC platform that ingests 150,000 plus real threat indicators from URLhaus, AlienVault OTX, and Feodo Tracker. Detects malicious IPs and domains in real time with automated incident creation and a Flask dashboard.

PhishGuard — ML phishing URL detector trained on 6,500 plus real URLs with 24 engineered features. Random Forest achieved 99.90% AUC-ROC.

Home Lab SIEM — Full ELK Stack deployment across two VMs. Processed 26,000 plus real security events. Configured Filebeat, Logstash pipelines, and Kibana SOC dashboards from scratch.

Phishing Email Analyzer — TF-IDF plus Logistic Regression classifier trained on 82,000 plus real emails. 98% accuracy with consistent precision and recall.

Credit Card Fraud Detection — Random Forest model on 284,807 real transactions. 97.66% AUC-ROC. Identified $60,127 in fraud losses in the test set.

Vulnerability Scanner — Automated CVE scanner using Nmap and the NVD API. Queries 347,000 plus CVEs and generates professional PDF reports.

Skills

Python, SQL, Bash, PowerShell, ELK Stack, SIEM, Threat Intelligence, Incident Response, Vulnerability Assessment, AWS, scikit-learn, Flask, Active Directory, Microsoft 365, ServiceNow

Currently

Actively looking for full-time roles in cybersecurity, data analytics, or IT. Based in Tempe, AZ and open to relocating anywhere in the US. F-1 STEM OPT.

linkedin.com/in/asthap23

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  1. cybershield cybershield Public

    Python

  2. fraud-detection fraud-detection Public

    Credit card fraud detection — analysis of 284,807 transactions with ML models achieving 97.66% AUC-ROC

    Python

  3. home-lab-siem home-lab-siem Public

    Home lab SIEM built with ELK Stack — real threat detection with Kibana dashboards

    Shell

  4. phishguard phishguard Public

    Real-time phishing URL detection using Random Forest ML — 99.90% AUC-ROC

    Python

  5. phishing-email-analyzer phishing-email-analyzer Public

    ML-based phishing email detector built with Python, TF-IDF and Logistic Regression. Achieves 98% accuracy on 82,000+ emails.

    Jupyter Notebook

  6. vulnerability-scanner vulnerability-scanner Public

    Automated vulnerability scanner with CVE lookup and PDF report generation

    Python