Aspiring Software Engineer and MCA student, passionate about building efficient software solutions and applying AI/ML to real-world problems.
Working on real-time ML projects, data preprocessing, and Python-based model development. Gaining practical exposure to AI applications in industry.
Built ML models to solve real-world datasets using Python and Jupyter Notebook. Implemented data preprocessing, model training, and evaluation.
Developed a Python algorithm to solve the N-Queen problem with step-by-step logic. Improved problem-solving and algorithmic thinking.
Compiled MCA course notes and programming exercises in a structured GitHub repository for easy reference and learning.
CGPA: 6.5
73%
70%
Passionate about Machine Learning, Artificial Intelligence, and Computer Vision. I enjoy working on projects that challenge my problem-solving skills and allow me to apply algorithms in real-world scenarios.
I also like exploring new programming languages, contributing to open-source projects, and staying updated with the latest trends in technology and AI research.
No formal awards yet, but actively pursuing certifications in Machine Learning, AI, and software development.