Map Routing
• Engineered a weighted graph from real-world map data with over 200,000 nodes, supporting both pedestrian and vehicle routing. • Optimized Dijkstra’s algorithm with priority queues, reducing query time by 60% for large-scale routing scenarios. • Implemented a responsive Windows Forms interface to dynamically visualize shortest paths and travel modes.
About Me
🌟 Introduction: I’m a Fullstack Developer and Machine Learning enthusiast with a passion for turning ideas into practical, real-world applications. Whether it’s building a sleek website or crafting intelligent systems that learn from data, I’m here to help you bring your vision to life. 🚀 Getting Started: My Journey My tech journey began with a summer training program at my faculty, where I got my first hands-on experience with real projects and teamwork. That opportunity sparked my curiosity in web development and machine learning — and I’ve been building ever since. 💻 What I Do: I build modern, responsive websites and smart applications that not only look good but also deliver results. From frontend UI to backend logic and data intelligence, I cover it all. 🛠️ Technical Skills Frontend Technologies : HTML5, CSS3, JavaScript, React Machine Learning : Python-based models for data analysis, classification, and prediction Web Scraping & Automation : Experienced in using Python (BeautifulSoup, Requests, Selenium) to extract and automate data collection from complex websites — including e-commerce platforms, game stores (e.g., Steam), and more Tools & Workflow : Git, VS Code, Jupyter, Firebase 🤝 Work Style: I believe in clear communication, meeting deadlines, and staying aligned with your business goals. I always aim to build solutions that are both technically solid and user-friendly. 🎮 Highlighted Project: Video Game Sales Prediction on Steam Technologies: Python, Machine Learning Duration: April 2024 – March 2025 * Developed regression and classification models to predict Steam video game sales, reaching up to 90% accuracy via extensive hyperparameter tuning. * Cleaned and engineered features from a large dataset of 91,000+ game records, including base games, DLCs, demos, and bundles. * Enhanced dataset quality and insight by combining multiple data sources and applying advanced preprocessing techniques. * Gained valuable insights into user engagement patterns and genre-based performance by leveraging data visualization and model interpretation. Let’s Build Something Great Whether you're a startup with a bold idea or an established business looking to upgrade, I’m excited to collaborate and build impactful software together.
$ 10 USD/hr
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