I am a Computer Engineering student passionate about Data Science, Artificial Intelligence, Machine Learning, and Software Development. I enjoy building intelligent systems that transform data into actionable insights and real-world solutions.
Currently, I am expanding my expertise in Machine Learning, Deep Learning, Data Engineering, and AI-powered applications while working on industry-focused projects and research-driven solutions.
- Computer Engineering Student
- Passionate about Data Science, AI, Machine Learning, and Data Engineering
- Experienced in developing end-to-end Machine Learning applications
- Industry experience in Irrigation Network Analysis and Hydraulic System Automation
- Interested in Computer Vision, NLP, Predictive Analytics, and Explainable AI
- Open to internships, collaborations, and full-time opportunities
Deep Learning-based medical image classification system for detecting pneumonia from chest X-ray images.
Tech Stack: Python, TensorFlow, Keras, OpenCV, NumPy
Highlights
- Developed CNN-based classification models
- Image preprocessing and augmentation pipeline
- Automated disease prediction system
- Performance evaluation using accuracy metrics and confusion matrices
Machine Learning application that classifies news articles as real or fake using Natural Language Processing.
Tech Stack: Python, Pandas, NLTK, Scikit-learn, Flask
Highlights
- Text preprocessing and cleaning pipeline
- TF-IDF vectorization
- Logistic Regression classifier
- Real-time prediction through Flask web application
Credit risk prediction system designed to evaluate borrower risk using machine learning models.
Tech Stack: Python, Pandas, Scikit-learn, XGBoost, Flask
Highlights
- Financial risk classification models
- Feature engineering and model optimization
- Explainable AI concepts
- Interactive web-based prediction system
Collaborative travel planning platform for managing group trips and activities.
Tech Stack: Node.js, Express.js, MongoDB, JavaScript
Highlights
- Role-based user management
- Task tracking and progress monitoring
- Responsive user interface
- REST API integration
Python C++ Java JavaScript SQL
Pandas NumPy Scikit-Learn XGBoost TensorFlow NLTK Matplotlib
Flask Git GitHub Jupyter VS Code
To leverage Data Science, Artificial Intelligence, and Software Engineering to build scalable, impactful, and intelligent solutions while continuously learning and contributing to challenging real-world problems.