
CLV Prediction
This project aims to predict the Customer Lifetime Value (CLV) of an online business using the Random Forest library.
Starting my university studies I was lucky enough to discover my passion about numbers, analytics, and visualizations. As a Data Analyst, I love to dive deep into large amounts of data, get valuable insights out of them and create visuals that are easy to understand and interpret from the various stakeholders of the business. I am always motivated to learn new skills that will add value to my current knowledge and expand my horisons further.
You can click at the image or the project title to view the analysis as well as the code used for each project.
This project aims to predict the Customer Lifetime Value (CLV) of an online business using the Random Forest library.
The YouTube Channel Analysis project examines the Formula 1 (F1) official YouTube channel, offering insights into performance, audience engagement, themes, and keywords.
This project aims to automate the report creation process and simplify the analysis of digital marketing ads from various platforms.
This project is about creating a timeseries prediction model using ARIMA to predict the future daily stock prices of gold
This project is based on the extraction and analysis of Cypriot housing prices from a local website.