Darshan Vishwakarma

I’m a Cybersecurity-focused Computer Science graduate who blends hands-on threat detection with practical data analytics. I’ve built systems that turn raw network and threat data into real-time signals and actionable context for fast decisions.

In network intrusion detection, I built an enterprise-grade, containerized Network Intrusion Detection System (NIDS) using a microservices architecture. I implemented an Isolation Forest model for real-time anomaly detection, integrated OSINT threat intelligence correlation (including threat actor attribution and geolocation enrichment), and developed forensic PCAP analysis with enterprise PDF threat reporting.

I also built an automated Security Operations Center (SOC) that ingests live threat data and continuously monitors for critical risk. Using a risk-scoring engine and interactive visualizations (including a global threat map), I focused on reducing time-to-detection through alerting (Discord webhooks), severity tagging, and automated retention cleanup.

Alongside cybersecurity, I apply the same data-driven mindset to business analytics—transforming EDA into live Streamlit apps, building multiple Power BI dashboards, and delivering predictive forecasting and customer segmentation. I’m motivated by roles where I can detect, analyze, and mitigate cyber threats in real time while leveraging analytics to improve outcomes.