KOWSHIK REDDY IGUTURI

Aspiring Cybersecurity Analyst | Machine Learning Engineer
Guntur, IN.

About

Highly motivated Computer Science Engineering graduate with a strong foundation in cybersecurity principles, vulnerability assessment, and machine learning model development. Eager to leverage practical project experience in network scanning, web application exploitation, and multi-disease prediction to contribute to innovative technical solutions and enhance system security.

Certificates

Introduction to Machine Learning

Issued By

NPTEL

Introduction to Operating System

Issued By

NPTEL

Education

Kallam Haranadhareddy Institute of Technology
Guntur, Andhra Pradesh, India

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B Tech (Bachelor of Technology)

Computer Science Engineering

Grade: 8.16 CGPA

Narayana Junior College
Guntur, Andhra Pradesh, India

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Intermediate

MPC (Mathematics, Physics, Chemistry)

Grade: 9.69 CGPA

Sri Chaitanya School
Guntur, Andhra Pradesh, India

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Secondary School Of Certificate

General Studies

Grade: 9.3 CGPA

Skills

Cybersecurity & Penetration Testing

Vulnerability Assessment, Penetration Testing, Network Scanning, Web Application Security, OWASP Top 10, SQL Injection, Cross-Site Scripting (XSS), Command Injection, File Upload Vulnerabilities, Network Reconnaissance, Risk Mitigation.

Cybersecurity Tools

Nmap, Msfconsole, Burp Suite Professional, theharvester, Wireshark, Nessus, DVWA, bwapp.

Programming & Databases

Python, SQL.

Machine Learning & Deep Learning

Machine Learning, Deep Learning, Predictive Modeling, Data Preprocessing, Model Training, Model Evaluation, Healthcare AI.

Projects

Network Scanning

Summary

This project focused on leveraging Nmap (Network Mapper) for comprehensive network scanning, enumeration, and security auditing, aiming to identify live hosts, open ports, running services, and potential vulnerabilities within a target network.

DVWA Vulnerability Assessment and Exploitation

Summary

Conducted a comprehensive vulnerability assessment and exploitation exercise on the Damn Vulnerable Web Application (DVWA) to identify and address common web security flaws.

Multi Disease Prediction using Machine Learning and Deep Learning

Summary

Developed and implemented a multi-disease prediction system leveraging machine learning and deep learning, achieving high accuracy in predicting diseases such as diabetes, heart disease, and cancer from diverse datasets.

Cybersecurity Training Program (Tata Strive)

Summary

Participated in an intensive cybersecurity training program, gaining practical skills in web application security, penetration testing, and network monitoring.