SAURABH CHAVAN
Cybersecurity Analyst & AI Specialist
Securing systems, detecting threats, and building AI-powered solutions
About me
I’m Saurabh Chavan, a dedicated Cybersecurity Analyst with over 5 years of experience protecting organizations against evolving threats. My background spans SOC Tier 2 operations, incident response, SIEM rule tuning, and vulnerability management, with hands-on expertise across tools like Splunk, QRadar, CrowdStrike, Nessus, and Qualys.
Currently, I’m pursuing my Master’s in Artificial Intelligence at Lawrence Technological University (GPA: 3.85/4), where I focus on applying AI and machine learning to cybersecurity challenges. This combination of practical security operations and advanced AI research allows me to approach problems from both a defensive operations and data-driven innovation perspective.
I’ve worked with leading companies including Tech Mahindra, Mphasis, and Mindtree, where I helped reduce critical risks, strengthen cloud and network defenses, and streamline incident response workflows.
Beyond technical skills, I’m passionate about continuous learning and collaboration, whether it’s building phishing awareness programs, automating threat detection workflows, or contributing to compliance efforts with frameworks like NIST, ISO 27001, and PCI-DSS.
My goal is simple: help organizations stay ahead of threats while shaping the future of AI-powered security solutions.
WORK Experience
Tech Mahindra
Sep 2020 – Oct 2022
Cybersecurity Analyst
- SOC Tier 2 analyst monitoring 24/7 alerts in Splunk & QRadar
- Reduced critical risks by 35% with proactive vulnerability scanning
- Contained endpoint threats using CrowdStrike Falcon
- Led phishing awareness program → lowered click rate by 60%
Mindtree
Jan 2018 – Jun 2018
Cybersecurity Analyst Intern SOC Tier 2
- SIEM monitoring (Splunk) for 500+ daily events
- Created incident response playbooks
- Designed phishing simulation reports
- Assisted ISO 27001 audit compliance
Mphasis
Jul 2018 – Aug 2020
Information Security Operations Analyst
- SOC Tier 2 analyst monitoring 24/7 alerts in Splunk & QRadar
- Reduced critical risks by 35% with proactive vulnerability scanning
- Contained endpoint threats using CrowdStrike Falcon
- Led phishing awareness program → lowered click rate by 60%
Skills
Projects
🔐SOC Automation with SOAR & SIEM
🕵️ Threat Hunting & Malware Analysis Lab
🕵️ Threat Hunting & Malware Analysis Lab
- Built custom SIEM correlation rules in Splunk & QRadar to detect brute-force attacks, lateral movement, and privilege escalation.
- Automated incident triage and response using SOAR playbooks (Python + PowerShell scripts).
- Result: Reduced mean time to respond (MTTR) by 40%.
🕵️ Threat Hunting & Malware Analysis Lab
🕵️ Threat Hunting & Malware Analysis Lab
🕵️ Threat Hunting & Malware Analysis Lab
- Conducted threat hunting exercises with IOC analysis mapped to MITRE ATT&CK.
- Performed malware sandboxing & RCA to analyze persistence techniques.
- Documented findings into incident response playbooks for SOC teams.
🌐 Vulnerability Management Dashboard
🕵️ Threat Hunting & Malware Analysis Lab
Flint Water GIS Security Analysis (Lab Project)
- Deployed Nessus & Qualys scans across endpoints and servers.
- Built an executive dashboard in Power BI to visualize CVSS-based vulnerabilities, remediation status, and SLA metrics.
- Result: Helped leadership track risk trends and prioritize patching.
Flint Water GIS Security Analysis (Lab Project)
Flint Water GIS Security Analysis (Lab Project)
Flint Water GIS Security Analysis (Lab Project)
- Used ArcGIS Pro & Python to analyze Flint water distribution network data.
- Applied classification methods to detect high-risk areas of contamination.
- Demonstrated data-driven decision-making for public infrastructure resilience.
🤖 Red Teaming LLMs (Research)
Flint Water GIS Security Analysis (Lab Project)
🤖 Red Teaming LLMs (Research)
- Designed a framework for testing LLMs in security-critical environments.
- Applied penetration testing methodologies to identify prompt injection & adversarial vulnerabilities in AI models.
- Goal: Improve resilience of AI-powered cybersecurity systems.
☁️ Cloud Security & IAM Lab
Flint Water GIS Security Analysis (Lab Project)
🤖 Red Teaming LLMs (Research)
- Configured AWS CloudTrail, GuardDuty, and Security Hub to detect unauthorized access.
- Implemented Azure Conditional Access policies to enforce Zero Trust.
- Designed multi-cloud IAM workflows for secure role-based access.
Education
📘 Lawrence Technological University – Southfield, MI
Master of Science, Artificial Intelligence (Jan 2023 – May 2025)
GPA: 3.85/4
🎓 Savitribai Phule Pune University – Pune, India
Bachelor of Engineering, Electronics & Telecommunication (Aug 2015 – May 2018)
Files
This website uses cookies.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.