Marketing + Technical Depth

How I position full-stack execution with SOC-grade security thinking

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Top-level SOC analysis for business stakeholders

1) Visibility

Combine network telemetry, endpoint behavior, and web logs into a single analyst context.

2) Prioritization

Use severity, confidence, and asset criticality scoring so analyst time goes to true risk first.

3) Response

Contain quickly, collect evidence, and coordinate incident communications across owners.

4) Continuous Improvement

Feed findings back into rule tuning, secure coding practice, and defensive controls.

Case study highlights

Nmap Command Builder

Knowledge-Driven Scan Mentor

Designed ethical reconnaissance guidance with workflow-based commands and clear warning context for aggressive scan flags. Included safer input handling for IPs, CIDR, domains, and ranges.

Live project: jobless-hacker.github.io/nmap-command-builder

ML Malware Detection

API call pattern based classification

Implemented and tested Random Forest, KNN, Decision Tree, Logistic Regression, and Naive Bayes models. Managed preprocessing, balancing, and feature engineering pipelines.

Accuracy achieved: 99.25%

Web Attack Detection

SQL injection, XSS, and brute-force classification

Built a Decision Tree classifier on labeled traffic and validated attack pattern detection for practical defensive use in monitoring environments.

Accuracy achieved: 99.55%

DDoS Detection System

High-volume network flow intelligence

Trained on more than 225,000 records and validated model behavior across attack vs benign flows for reliable SOC alert generation.

Accuracy achieved: 99.99%

30-60-90 day contribution model for SOC onboarding

First 30 days

Learn environment, understand existing detections, and document baseline triage workflows.

Day 31-60

Contribute to alert tuning, false-positive reduction, and incident documentation quality.

Day 61-90

Own selected detection improvements and support repeatable reporting for leadership reviews.

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