Projects

Each project includes data processing, modeling, evaluation, and business insight.

Titanic Survival Classification

Beginner-friendly classification project using passenger data.

Classification Accuracy 79.21%

House Prices Regression

Entry-level regression project to predict house prices.

Regression R2 0.8989

Customer Churn

Churn prediction with simple business impact analysis.

Classification ROC-AUC 92.5%

Stock Price Forecasting

Intro time series forecasting with basic signals.

Time Series RMSE 0.1060

Neural Networks

Intro neural network model for survival prediction.

Neural Nets Accuracy 78.14%

Skills

Tools used across the portfolio and production-ready workflows.

Languages

Python (basic), SQL (basic)

Data

Excel, data cleaning basics

Modeling

Intro ML workflows, model evaluation

Visualization

Basic charts, reporting

Contact

Ready for interviews and technical challenges.

Let's talk about data and business impact.

xristoskaradis40@gmail.com