🎓 Computer Science Student | Aspiring Software Developer
I build practical projects across full-stack web development, Python, Java, machine learning, NLP, data analysis, and software engineering.
I enjoy turning ideas into functional applications, solving problems through technology, and learning new tools through hands-on projects.
Currently, I'm continuing to develop my technical skills through academic projects, personal projects, and real-world development experience.
- 🎓 Computer Science student
- 💻 Interested in software development and practical technology
- 🌐 Experience building front-end and full-stack web applications
- 🤖 Interested in machine learning, NLP, and AI
- 📊 Interested in data analysis and machine learning
- 🧠 Interested in knowledge-based systems and rule-based reasoning
- 🗄️ Experience working with databases and backend systems
- 🧩 Interested in software testing, problem solving, and system design
- 🤝 Strong communication, teamwork, and collaboration skills
- 🚀 Always learning and improving through hands-on projects
- Python
- Java
- JavaScript
- HTML
- CSS
- SQL
- React
- Node.js
- Express.js
- Flask
- REST APIs
- Responsive Web Design
- Pandas
- NumPy
- Scikit-learn
- PyTorch
- Hugging Face Transformers
- GPT-2
- Natural Language Processing (NLP)
- Machine Learning
- Knowledge-Based Systems
- Rule-Based Expert Systems
- A* Pathfinding
- Data Cleaning
- Exploratory Data Analysis
- Principal Component Analysis (PCA)
- Feature Engineering
- Model Evaluation
- MongoDB
- MySQL
- Git
- GitHub
- VS Code
- Cisco Packet Tracer
- GitHub Pages
- Maven
- Pygame
A full-stack hospital management application designed to support patient and doctor workflows.
Technologies: React, Node.js, Express.js, MongoDB, JavaScript, JWT
Highlights:
- Patient and doctor workflows
- Appointment management
- Medical records
- User authentication
- REST API architecture
- MongoDB database integration
A rule-based expert system developed as an academic Knowledge-Based Systems project. The system uses certainty factors and inference rules to analyze symptoms across multiple medical domains.
Technologies: Python, Flask, HTML, CSS, Certainty Factors, Forward Chaining
Highlights:
- Respiratory & Fever domain
- Gastrointestinal domain
- Neurological domain
- Certainty Factor reasoning
- Rule-based inference
- Diagnosis ranking
- Urgency classification
- Explanation and decision traces
- CLI and web interfaces
⚠️ Educational project only. It is not intended to replace professional medical diagnosis or medical advice.
A natural language processing project using GPT-2 and deep learning techniques to classify text sentiment.
Technologies: Python, PyTorch, Hugging Face Transformers, GPT-2
Highlights:
- Text preprocessing
- Transformer-based model
- Attention-based representation
- Sentiment classification
- Model evaluation
A Java-based cafeteria management application with a graphical user interface and MongoDB database integration.
Technologies: Java, MongoDB, Maven, Swing GUI
Highlights:
- Student registration and authentication
- Staff management
- Menu management
- Order management
- Loyalty system
- MongoDB database integration
- Student and staff dashboards
A Python game where an AI-controlled pirate navigates a maze using pathfinding algorithms to collect treasures while avoiding obstacles.
Technologies: Python, Pygame, A* Pathfinding
Highlights:
- AI-controlled player
- A* pathfinding
- Fixed maze environment
- Treasure collection
- Obstacles and damage areas
- Win and game-over states
- Interactive graphical interface
A computer networking project created using Cisco Packet Tracer to design and configure a network environment.
Focus Areas:
- Network topology
- Device configuration
- IP addressing
- Network connectivity
- Troubleshooting
A software engineering project focused on designing a platform for skill exchange while applying software development and system design concepts.
Focus Areas:
- Requirements analysis
- System design
- UML diagrams
- Software engineering
- Project documentation
A responsive interactive event website created to provide event information and an RSVP experience.
Technologies: HTML, CSS, JavaScript, GitHub Pages
Highlights:
- Responsive design
- RSVP functionality
- Interactive countdown
- Photo gallery
- Event information
- Interactive user experience
A machine learning project focused on predicting loan default using multiple classification algorithms.
Technologies: Python, Pandas, Scikit-learn, XGBoost, Tkinter
Models explored:
- Logistic Regression
- Random Forest
- XGBoost
- ID3 Decision Tree
Highlights:
- Data preprocessing
- Feature scaling
- Multiple classification models
- Model comparison
- Prediction interface
- Confusion matrix evaluation
- Precision, Recall, and F1-score analysis
A data analysis project focused on working with and analyzing Nike sales data.
Technologies: Python, Pandas, Data Analysis
Highlights:
- Data cleaning
- Working with sales data
- Discount-based revenue calculation
- Data analysis
- Identifying useful patterns in the dataset
A data analysis and dimensionality-reduction project using Principal Component Analysis (PCA) on an employee dataset.
Technologies: Python, Pandas, NumPy, Scikit-learn
Highlights:
- Data preprocessing
- Feature analysis
- Dimensionality reduction
- Principal Component Analysis
- Data transformation
- Analysis of employee-related features
- 🧩 Problem-solving mindset
- 🤝 Teamwork and collaboration
- 💬 Strong communication skills
- 📚 Willingness to learn
- 🔍 Attention to detail
- ⚡ Ability to adapt to new technologies
- 🛠️ Hands-on project experience
- 🎯 Focus on practical solutions
I'm continuing to strengthen my skills in:
- Full-stack web development
- Software development practices
- Machine learning and NLP
- Data analysis
- Databases
- Software testing
- System design
- Building and documenting practical projects
Thanks for checking out my GitHub profile.
I'm always learning, building, and working on new projects. 🚀