Summary
Work History
Education
Skills
Certification
Projects
Languages
Generic
Allahbaksh Mulla

Allahbaksh Mulla

Solapur

Summary

Enthusiastic and detailoriented B.Tech graduate with a passion for cybersecurity and ethical hacking. Possesses hands-on experience and certification training in CCNA, Linux, and CEH. Eager to apply knowledge and skills to contribute effectively to cybersecurity initiatives and protect digital assets

Work History

CYBER SECURITY | INTERN

Acmegrade
04.2022 - 06.2022
  • Conducted network traffic analysis using Bettercap and Wireshark on VulWeb, a vulnerable web application
  • Successfully performed sniffing to identify and analyze potential security threats and vulnerabilities
  • Gained hands-on experience in network security and traffic monitoring tools.

Education

SSC -

SSA English Medium School
03-2017

HSC - Science

SSA Urdu High School And Jr. College of Science
02-2019

BE/B.TECH - Computer Science And Engineering

NB Navale Sinhgad College of Engineering
07-2023

Skills

  • Ethical hacking
  • Networking Basics
  • Linux
  • Information Security
  • Reconnaissance
  • Footprinting
  • Network Scanning
  • Nmap
  • Enumeration
  • Metasploit
  • Vulnerability Assessment
  • Owasp Zap
  • Tenable Nessus
  • Malware Analysis
  • System Hacking
  • Social Engineering
  • Spoofing
  • Sniffing
  • WireShark
  • Burp Suit
  • Cryptography

Certification

  • Linux, SevenMentor & Training Pvt Ltd.Pune(https://drive.google.com/file/d/1iJuLafBEIG_gR9CEtBkE0a-uQYtBp3LV/view?usp=drive_link)
  • CCNA, SevenMentor & Training Pvt Ltd.Pune(https://drive.google.com/file/d/1iNiG-PsVOwAO72qxRUa6oAWmNoiETYsr/view?usp=drive_link)
  • CEH, SevenMentor & Training Pvt Ltd.Pune(https://drive.google.com/file/d/1l2pv55M-FJxa7hFJKtPKEXFTIIQSWqdM/view?usp=drive_link)

Projects

Land Registry System using Blockchain, 2021-2022

Implemented a secure and transparent Land Registry System leveraging Blockchain technology. Developed smart contracts and web application to manage land ownership records, transactions, and transfers on a distributed ledger

Plant Disease Detection, 2022-2023

Developed and implemented a computer vision-based system for detection and diagnosis of plant diseases using machine learning techniques. Utilized image processing algorithms to analyze leaf images captured from agricultural fields and accurately identify symptoms of common plant diseases.

Languages

  • English
  • Hindi

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Allahbaksh Mulla