Projects
This section showcases the projects I have worked on and the experiences I have gained. My projects focus on developing data-driven solutions, applying data visualization techniques, and transforming complex problems into meaningful outcomes. Through these projects, you can explore how I apply my technical skills and analytical thinking to solve real-world challenges.
Developed a web scraper to gather product data from Vatan Computer and visualized it using Python. The project involved data extraction, cleaning, and creating interactive visualizations to analyze trends and insights effectively.
Anomaly Detection in Time Series
Developed a model to detect anomalies in time series data using Python. The project included data preprocessing, visualization, and anomaly identification techniques to highlight irregular patterns and trends effectively.
Heart Disease Prediction Model
Developed a classification model to predict heart disease using Python. The project involved data preprocessing, feature selection, and training classification algorithms to achieve accurate health predictions, demonstrating a data-driven approach to medical diagnostics.
Bulldozer Price Regression
Developed a regression model to predict bulldozer prices using historical data. The project involved feature engineering, data cleaning, and applying machine learning algorithms to accurately estimate pricing trends in the construction equipment market.
Dog Vision
Developed a predictive model to estimate heart disease risk using linear regression. The project involved data cleaning, feature engineering, and model evaluation to achieve accurate predictions.
Phone Price Prediction
Developed machine learning models to predict mobile phone prices in e-commerce, integrating technologies like Firebase, Heroku, and Flutter. The project involved data preprocessing, feature engineering, and API development, providing accurate and dynamic pricing predictions for online platforms.
