Vasilis Katsikas

About Me Hello! I’m a Data Scientist passionate about combining data, AI, and analytics to solve real-world business challenges.

Get to know me!

Hi, I’m Vasilis Katsikas, a Data Scientist based in Athens, Greece, passionate about combining data, AI, and analytics to solve real-world business challenges. I currently work at Amplifyd, where I develop data-driven solutions that support marketing performance, automation, and smarter decision-making.

My work bridges data science and marketing technology. I build predictive models, automate data pipelines, develop reporting solutions, and transform complex marketing data into clear, actionable insights for brands and business teams.

I’m also pursuing an M.Sc. in Data Science & Machine Learning at the Hellenic Open University, building on my earlier training at Big Blue Data Academy. This continuous learning journey helps me stay up to date with developments in AI, machine learning, and business intelligence.

My core toolkit includes Python, Pandas, SQL, Looker Studio, and Google Cloud Platform (GCP). I use these technologies to create scalable solutions, ranging from predictive analytics and automated data pipelines to interactive dashboards and AI-powered applications.

Beyond the code, I’m passionate about using data to tell stories, inspire change, and empower people to make better decisions. Let’s connect and explore how data and AI can shape the future, one insight at a time. 🚀

Contact

My Skills

Python

SQL

Pandas

Numpy

Streamlit

GCP

Scikit-learn

EDA

PowerBI

Folium

Excel

Looker Studio

MongoDB

🎥 Watch My Latest Project Demos

Projects

AI Agent for Social Media

End-to-end multi-agent pipeline that converts hotel listings (Booking.com + optional website) into ready-to-publish social posts with image-aware captions and hashtags. The system is orchestrated using the Google Agent Development Kit (ADK) using tools and LLM agents powered by Gemini.

Case Study

Churnflix: Bank Churn Prediction App

A Netflix-inspired web application that predicts customer churn using Machine Learning (XGBoost). Built with React (Frontend), FastAPI (Backend), and Docker for seamless deployment. Includes an Analytics Dashboard for interactive churn insights.

Case Study

Hospitality Predictive Analytics: Cancellations & ADR Forecasting (In progress)

An end-to-end ML pipeline predicting booking cancellations and average daily rate in hospitality, deployed with FastAPI and Docker for real-time insights.

Case Study

Customer Segmentation for Retail Optimization

This project applies K-Means Clustering to segment retail customers based on RFM (Recency, Frequency, Monetary Value) analysis. By analyzing transactional data, we identified four key customer groups, enabling targeted marketing strategies, retention efforts, and revenue optimization. Technologies used include Python, Pandas, Scikit-learn, and Matplotlib for data processing, clustering, and visualization.

Case Study

PAOK FC Player Performance Analysis(Web Scraping and PowerBI)

This project involves web scraping data from the official PAOK FC site, analyzing player performance using Python (Pandas & Matplotlib) , and visualizing insights in Power BI. It covers key areas such as goals, assists, accuracy, and defensive actions. Skills demonstrated include web scraping with BeautifulSoup, data manipulation with Pandas, and creating advanced visualizations in Power BI using DAX formulas for interactive dashboards. The project highlights my ability to transform raw data into actionable insights and present them in a user-friendly manner.

Case Study

Netflix Insights: Trends, Locations, and API-Driven Analysis

This project explores a dataset from Netflix to uncover key insights into its catalog, content trends, and geographical distribution. Used advanced Python libraries and APIs, including Folium maps for location-based insights. This project demonstrates my skills in data cleaning, API integration, and creating visually engaging, portfolio-ready analytics.

Case Study

Accident Analytics: Strategic Insights for Business Growth

This project analyzes US traffic accident data to uncover trends across states, seasons, and high-risk locations. The insights enable smarter risk management, enhanced insurance models, and improved urban planning, driving strategic value for businesses and public agencies.

Case Study

Project 7 - GymAI

In Progress. Check a teaser of the project in the case study.

Case Study

Contact Feel free to reach out for collaborations, questions, or just to say hello. I’d love to connect and discuss how we can create something impactful together!