I work with raw datasets and prepare them for analysis by cleaning missing values, removing duplicates, and identifying potential outliers. After preparing the data, I analyze patterns and trends to extract useful insights, supported by clear visualizations.

I transform prepared datasets into visual dashboards that make information easier to understand and explore. Using interactive charts and web-based visualizations, I present data in a clear way so users can explore trends and gain insights for better decision-making.

Recent Project:

I gather data directly from websites using automated web scraping techniques and convert it into structured datasets such as CSV files. This service is useful for building datasets, monitoring website information, or collecting large amounts of public data efficiently.

Design, train, and evaluate machine learning models to solve classification, regression, and prediction problems. Experienced with implementing core algorithms from scratch and understanding the mathematical foundations behind them, including linear algebra, probability, optimization, and statistics.

Develop search engines that retrieve and rank documents using information retrieval techniques. Experienced in building full-stack search applications and implementing retrieval algorithms, query processing, and search suggestions.

Recent Project: