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Anish Bokare

@anishbokare

Cybersecurity engineering student targeting network operations and NOC roles; built SIEM dashboards and automated alert triage.

India

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What I'm looking for

I'm targeting network operations and NOC roles where I can apply my experience in monitoring, alert triage, automation, and system hardening.

At ETQ Global, I documented SIEM monitoring and incident response playbooks, tuned anomaly detection pipelines to reduce false positives by 40%, and developed SOAR scripts for IoC correlation and vulnerability management.

I also built a centralized dashboard for real-time security event visibility. At MP Police, I automated log analysis and security auditing, reducing manual effort by 45%, and hardened Linux servers and CI/CD pipelines.

At COEP Technological University, I built Python ETL pipelines and interactive dashboards for performance monitoring, reducing decision latency by 30%.

My projects include a confidential SIEM that processes encrypted logs, an OT/ICS honeynet with a live digital twin, and an adversarial perturbation engine for network traffic.

Experience

Work history, roles, and key accomplishments

SOC Intern

ETQ Global

Jun 2026 - Aug 2026 (2 months)

Documented SIEM monitoring and incident response playbooks, tuned Python anomaly detection pipelines to reduce false positives by 40%, and developed SOAR scripts for IoC correlation. Built a centralized dashboard for real-time security event visibility.

SIEM Python Pandas scikit learn SOAR Incident Response Vulnerability Management Dashboarding Documentation

CyberSec Intern

MP Police

Sep 2024 - Oct 2025 (1 year 1 month)

Automated log analysis and security auditing using Bash/Python, reducing manual effort by 45%. Secured CI/CD pipelines and hardened Linux servers through kernel, firewall, and access control configuration.

Log Analysis BASH Python Regex Jenkins GitLab CI CD Linux Security Firewall Configuration Access Control

Research Intern

COEP Technological University

May 2025 - Jul 2025 (2 months)

Built Python ETL pipelines for processing data streams and detecting anomalies. Developed interactive Flask/JavaScript dashboards for real-time performance monitoring, reducing decision latency by 30%.

Python ETL Flask JavaScript Data Pipelines Anomaly Detection Dashboarding