Sleep Disorder Prediction System
→
Summary
Developed a machine learning-based system for analyzing health data and accurately classifying potential sleep disorders.
Aspiring Cybersecurity Engineer with a strong foundation in threat intelligence, network defense, and risk mitigation, dedicated to safeguarding digital infrastructure. Proven ability to apply proactive security strategies, conduct vulnerability diagnostics, and respond to incidents, coupled with hands-on experience in network analysis and machine learning for security applications.
Cybersecurity Intern
Hyderabad, Telangana, India
→
Summary
Executed threat intelligence, vulnerability diagnostics, and rapid incident response to enhance digital security postures and fortify architecture.
Highlights
Performed comprehensive threat intelligence and vulnerability diagnostics, proactively identifying and mitigating security risks across digital assets.
Executed rapid incident response protocols, significantly reducing potential impact and ensuring continuity of critical operations.
Utilized advanced network analysis frameworks to conduct in-depth system resilience assessments, fortifying the overall security architecture.
Project Team Head
Hyderabad, Telangana, India
→
Summary
Directed the end-to-end development of a machine learning-based Sleep Disorder Prediction System, overseeing strategic planning and quality assurance.
Highlights
Directed the full lifecycle development of the Sleep Disorder Prediction System, ensuring alignment with strategic objectives and technical specifications.
Managed and delegated tasks across a multidisciplinary team, optimizing workflow and ensuring timely project milestones.
Implemented rigorous quality assurance protocols and Nmap-driven security audits, enhancing system integrity and reliability.
College Club Secretary
→
Summary
Administered event operations and guided multidisciplinary teams as College Club Secretary, fostering collaboration and accountability.
Highlights
Administered comprehensive event operations and official protocols, ensuring seamless execution for college-wide initiatives.
Coordinated with dignitaries and managed inter-departmental communications, enhancing organizational efficiency.
Guided multidisciplinary teams, fostering a collaborative environment that promoted accountability and innovative problem-solving.
→
Bachelor of Technology
Computer Science Engineering [Cyber Security]
Grade: CGPA 7.47
→
Intermediate
Intermediate
Grade: 80.5%
Python Programming, Bash Scripting, SQL Database, Kali Linux, Digital Forensics, Network Analysis Frameworks, Machine Learning, Nmap.
Verbal Communication, Leadership, Team Collaboration, Problem Assessment, Strategic Planning, Quality Assurance, Task Delegation.
Creativity, Analytical Thinking.
Strategic Planning.
Logical Problem-Solving.
→
Summary
Developed a machine learning-based system for analyzing health data and accurately classifying potential sleep disorders.
→
Summary
A project focused on identifying security weaknesses in target systems using network analysis frameworks.
→
Summary
Competed in a Web Development Hackathon, delivering innovative solutions under stringent deadlines.