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

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.