Bio
Cyber Security student and College graduate from Dr. Babasaheb Ambedkar Technological University Lonere (DBATU). I am focused on finding the Vulnerabilities, creating automated tools to collect data and perform OWASP top 10 and OSINT.
During COVID-19 I took my curiosity in cracking field as well so, I tried to crack OTT platforms account where I cracked the real time Netflix and Disney+hotstar accounts.
Apart from that I was also curious about CARDING as well So, After that I have done some research and give some guidance to the beginners.
At Dr. Babasaheb Ambedkar Technological University Lonere DBATU, In the sophomore year, I have done a Machine Learning using Python project known as Crypto Currency Price Prediction specifically Bitcoin where I illustrated the real time price prediction based on past 2 years of data to predicts next 60 days, and B&W image colorization project where I demonstrated Black and White images turns into color images.
After my undergrad, I worked as a Web application Penetration Tester Intern At GetMax, focusing on Web application vulnerabilities, Managing cloud services and Setting the Firewalls rules.
I occasionally play CTFs and am learning many new things in the cybersecurity domain every day. I am passionate about giving back to the community and helping others get into this field. Apart from that, I like to cook new dishes and love to play Cricket.
Projects
In this study, I especially focused on a popular cryptocurrency, i.e., bitcoin. From many types of virtual currencies, bitcoin has a great acceptance by different bodies such as investors, researchers, traders, and policymakers.
To the best of my knowledge, My target was to implement the efficient Machine learning-based prediction models specifically long short-term memory (LSTM) and gated recurrent unit (GRU) to handle the price volatility of bitcoin and to obtain high accuracy.
My study involves comparing these two-time series Machine learning techniques and proved the efficiency in forecasting the price of bitcoin.
This project involves an image-to-image transformation using deep learning.
It converts RGB images into the Lab color space, separates the L channel as input, and trains a neural network to predict the ab channels.
These channels are then recombined to create Lab images, which are finally converted back to RGB.
The result is an innovative approach to add color information to grayscale images.
This is a Automation scripts which is written in the BASH where, We can use this script for Information Gathering to find vulnerabilities in web application.
Github Page.
Publications
In this study, I especially focused on a popular cryptocurrency, i.e., bitcoin. From many types of virtual currencies, bitcoin has a great acceptance by different bodies such as investors, researchers, traders, and policymakers.
To the best of our knowledge, our target is to implement the efficient Machine learning-based prediction models specifically long short-term memory (LSTM) and gated recurrent unit (GRU) to handle the price volatility of bitcoin and to obtain high accuracy.
Our study involves comparing these two-time series Machine learning techniques and proved the efficacy in forecasting the price of bitcoin.
Certifications
During my undergrad's Final Year I qualified for the EC-councile schlorship program where I got the voucher around $100. I prepared myself for this exam and 25th April 2022. I passed the exam successfully.
Cyber Security Skill Program Internship By Indian Institute Of Technology, Kanpur [C3iHubB201185]
Cyber Security Skilling Program 2023, This internship was about Cybersecurity Awareness Cybercrime, Cyber laws And Cyber Ethics. Apart from that I aquired skill like, How we can secure the software as well as web application and also, How to be safe Online and It is very important while surfing the internet.
Real-Time Cyber Threat Detection and Mitigation [New York University]
In this program [Mr. Edward Amoroso] he categorise his program into four modules where In the First module he taught Network Security. In the Second Module he elaborated his point from the first module like he taught about Packet Filtering, Default Firewall Block, Firewall Rules to Allow Outbound Web Browsing, FTP Protocol and lastly he gave assigenments to find how you could understand the Module very well.
In the Third module he taught about Firewall Architecture, System Auditing, What is IDS(Intrusion Detection System) and IPS(Intrusion Prevension System) and In the Final module he taught DDOS and APT attack. After completing this all modules I have improved my skill to the next level.
Github Page.