Rhythm Mehta

Software Engineer

Ahmedabad, Gujarat, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Proficient in Cybersecurity Forensics and Threat Detection.
  • Experienced in developing data-driven solutions.
  • Strong analytical skills with a focus on user needs.
Stackforce AI infers this person is a Cybersecurity Analyst with a focus on forensic analysis and data-driven solutions.

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Skills

Core Skills

Cybersecurity ForensicsData AnalysisThreat Detection

Other Skills

Artificial Intelligence (AI)Artificial Intelligence for BusinessComputer EthicsFormal CommunicationGenerative AIGenerative AI ToolsInternal System AuditLog AnalysisMicrosoft 365Microsoft CopilotNetwork SecurityPlanningProductivity ImprovementPython (Programming Language)Responsible AI

Experience

Deloitte

2 roles

Software & Technology Developer (Virtual Experience)

May 2025May 2025 · 0 mo · Remote

  • Deloitte Australia – Forage
  • Remote | [May, 2025]
  • Completed a virtual job simulation focused on technology consulting and development.
  • Developed a coding solution as part of a real-world task simulation.
  • Wrote a proposal for a client-facing data dashboard, emphasizing user needs and technical feasibility.
  • Gained exposure to Deloitte’s approach to problem-solving, innovation, and client communication.
Log AnalysisCybersecurity ForensicsThreat DetectionNetwork SecurityInternal System AuditData Analysis+1

Cyber Security Analyst (Virtual Experience)

May 2025May 2025 · 0 mo · Remote

  • Cybersecurity Analyst (Virtual Job Simulation) – Deloitte
  • Project: Internal Network Breach Analysis for Daikibo Industrials
  • May 2025
  • Conducted in-depth forensic analysis of internal web access logs to investigate a potential data breach targeting Daikibo’s manufacturing status dashboard.
  • Determined that direct internet access was not possible due to the system being restricted to internal network IPs only (192.168.x.x), confirming the need for VPN-level access for any potential intruder.
  • Identified suspicious automated activity from internal IP 192.168.0.60 associated with user ID dwFByELZxT4XLx5SRt5o7g, suggesting possible credential compromise and data scraping via scripted API requests.
  • Recommended steps for log monitoring, anomaly detection, and limiting machine status API polling frequency to prevent future automation-based intrusions.
Log AnalysisCybersecurity ForensicsThreat DetectionNetwork SecurityInternal System AuditData Analysis+1

Education

New L.J Institute Of Engineering & Technology

CSE WITH DATA SCIENCE

Sep 2024Jul 2028

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