ANNAMREDDY BHARGAV REDDY

Cybersecurity Undergraduate · SOC • Threat Detection • Network Security

Thiruvallur, Andhra Pradesh, India

@bhargavreddy_45

GitHub

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🎓 B.E./B.Tech – Cybersecurity at SIMATS Engineering · Graduated 2024

About

Cybersecurity undergraduate with hands-on project experience in phishing detection, QR-code threat analysis, security monitoring, login analytics, and secure web applications. Familiar with security tools, networking fundamentals, and SQL/Python-based analysis, and seeking cybersecurity internship opportunities.

Education

B.E./B.Tech

SIMATS Engineering

Cyber Security · Jul 2024 – Mar 2028

Skills

<3 months

C SQL CSS HTML Java VAPT Python Enumeration Web Security Cybersecurity Port scanning Packet Analysis Threat Detection Security Monitoring

Tools / apps / platforms

<3 months

Nmap Linux Wireshark Kali Linux Microsoft Windows Splunk Enterprise

Languages

Native / Bilingual

Telugu Speak

Fluent

English Speak

Projects

Advanced Student Record Management System

C, structures, CRUD operations, file handling

Developed a console-based record system using C, structures, CRUD operations, and file handling. Implemented search, update, attendance, marks, and reporting functions for structured data management.
Secure Student Portal with Authentication & Dashboard

HTML, CSS, JavaScript

Developed a responsive web application with login validation, dashboard interfaces, and student-data management. Implemented basic authentication and access-control practices.
Employee Login Monitoring & Security Analytics System

SQL, JOIN, GROUP BY, COUNT, ORDER BY, aggregate functions

Designed a relational database for employee login monitoring, security auditing, and activity analysis. Developed SQL analytics for failed-login detection and reporting, and applied database normalization and relational design principles.
AI-Powered QR Code Threat Detection System

QR code inspection, threat scoring

Built a cybersecurity tool to inspect QR codes and identify malicious or phishing URLs embedded within them. Implemented URL inspection, domain verification, threat scoring, risk reporting, and automated alerts for high-risk QR codes.
AI-Based Phishing Website Detection System

Python, URL security features

Built a machine-learning-based system to identify phishing and legitimate websites using URL security features. Analyzed domain length, HTTPS usage, suspicious keywords, and redirection patterns for threat classification, and created a user-facing security assessment interface with threat scores and security recommendations.

Courses & certifications

Database – SQL Course · MentiBy · 2026
Introduction to Cybersecurity · Cisco Networking Academy · 2026
Web Development Virtual Internship · CodSoft · 2025
C Foundation Course · MentiBy · 2025
SQL (Basic) · HackerRank · 2025

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