My Projects
SEO Variable Analyzer
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Python application for SEO parameter analysis based on Google Search results. Scrapes top-ranked websites, extracts SEO factors (page speed, mobile-friendliness, titles, keywords, structured data), and queries Google APIs. Applies a Gradient Boosting Classifier to determine each factor's importance on rankings. Multithreaded architecture for faster URL processing. Generates detailed Excel reports with actionable recommendations.
Big-Foot Sightings
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Full Big Data workflow using real-world Bigfoot sighting reports. Built Python applications to extract, clean, and preprocess unstructured sighting data. Applied data cleaning techniques (missing value handling, normalization, deduplication) to prepare the dataset for analysis. Designed interactive charts to uncover geographic hotspots, yearly trends, and common themes in Bigfoot sightings.
Foody – Restaurant Management Platform
Made with:
Built a dual-platform restaurant management system combining a desktop admin interface and a web-based user platform. Developed a Python Tkinter GUI for restaurant owners to manage menus, reservations, and customer data. Created a React.js frontend for customers to browse restaurants, register, and leave restaurant ratings. Integrated Firebase for real-time database management and authentication across both interfaces.
Environment Classification with Machine Learning
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Developed a machine learning model to classify environment images (urban, forest, desert, etc.) from extracted numerical features. Built an XGBoost-based pipeline for feature extraction, training, and performance evaluation.
