Machine Learning Engineer
I am a Computer Science graduate with strong analytical, problem-solving, and technical skills. I have completed a Cisco certification course in Cyber Security and a Java Full Stack Development course under the Wipro Talent Next program. I am currently focused on applying academic knowledge and internship experience to contribute effectively in a challenging work environment.
The project leverages deep learning to classify multilabel chest X-ray datasets, tackling the challenge of data imbalance across various conditions. It aims to enhance diagnostic precision by developing models that better recognize rare or underrepresented diseases.
The project is about how the credit card fraud is being detected by using various ML algorithms such as Decision trees, Random Forest Naive Baye’s, SVM, Neural Networks, etc. Amongst, Random Forest is assumed to give highest accuracy in detecting credit card fraud.
56 days
Through CISCO internship in cybersecurity, networking and cyber essentials, I have learnt many things about the cyber security, how to protect essential data from hackers using trending technologies. Basics in Cyber-Security, Packet Tracer, networking and Cyber Security Essentials.
Cisco certification course in Cyber Security, Packet Tracer and Cyber Security Essentials.
Certified in Java Full Stack Development course under the Wipro Talent Next program.
Master of Technology in CSE •
CGPA: 8.30
Bachelor of Technology in CSE • 2021-2025
CGPA: 8.14
Intermediate • 2018-2020
Percentage: 89.5%
School of Secondary Education • 2017-2018
CGPA: 10
Interested in collaboration or just want to say hello? Feel free to reach out!