I'm a computer engineer graduate who finally discovered my passion for data.

Always eager to connect, collaborate, and create data-driven innovations. Let's turn data into actionable insights!

   

• Finding Airbnb - MySQL - A comprehensive analysis of Airbnb listings using MySQL narrowed the list from 13,759 to just 15 listings while reducing the budget by up to €500 from the initially set amount.

• Netflix Content - Tableau Dashboard - A comprehensive analysis of Netflix's content library using Tableau and Python, focusing on genre trends, content types, global distribution, and growth patterns to gain data-driven insights.

• Store Sales Dashboard - This Power BI Sales Dashboard presents key metrics, including total sales, quantity, sales by year, and performance by province, with a comparison of YoY%. It offers valuable insights to support growth strategies.

• Black Friday Sales Analysis - This project provided actionable insights into key age groups and popular product categories, helping the company modify marketing strategies and boost revenue. I used Polars library for analysis and Plotly Express, a Python package for visualization.

• EDA of Car Dataset - MySQL - A comprehensive analysis of the car evaluation dataset in MySQL that focuses on identifying patterns and trends across various attributes to gain data-driven insights.