This script engages with APIs to collect data and conduct fundamental computations for identifying the optimal approach to generate profits within the game. It also comes with a preconfigured and continuously updating Google Sheet for seamless utilization.

Taylor Swift Spotify Stream Trend Dashboard

Bilkent Scheduler is an open-source tool designed to assist students at Bilkent University in planning their course schedules.

"SocialScope harnesses the power of data science to Instagram's vast content, providing insightful analytics and trend predictions for informed decision-making."

MANGA Plus Top 40

🪄 Who is this in The Wizarding World Cross-platform game built with React Native, challenging players to identify Harry Potter characters. Integrates with a RESTful API powered by Node.js and uses AWS S3 for image storage. Features include a strike system for consecutive correct answers and a detailed end-game scoreboard. Open to contributions 🧙

Machine learning project to forecast gig success and extent. It gathers data with Selenium Stealth, cleans and visualizes with pandas, numpy, and matplotlib, and predicts using sklearn's decision trees and random forest

Blox Fruits Auto Farm

This project helps user to perform trend analysis, pattern recognition, and deriving data insights through exploratory data analysis (EDA) for the Airbnb data. Created an interactive Powerbi dashboard to analyze Airbnb data.

Miscellaneous Python applications or scripts I've made to help me learn Python and use as productivity tools.

Discord Bot with information about the NBA!

A simple file downloader / scraper for NOVA School of Science and Technology's own e-learning platform, CLIP.

automatically fetch value stocks and stocks with unusual option activity (pareto front of iv skew and vrp)

Some of my Data Scraping Projects

Investigating the criteria to obtain a signature shoe deal in the NBA

Football Live Score is a Chrome extension that reports football match fixtures, match results, match stats and live scores.

This repository focuses on scraping data from Cars.com using the BeautifulSoup in Python, automating the process, and analyzing the data for insights.

A comprehensive project with scraping data, methodology, including graph construction, common subgraph identification, KNN implementation, and classification results.

Cross-industry analysis reveals insights through comprehensive dashboards.

An all-encompassing web platform for data analysis and visualization, powered by Streamlit, complemented by an automated item classifier that streamlines the process of label assignment.