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Vasilis Katsikas
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Vasilis Katsikas

"In God we trust, all others must bring data." — W. Edwards Deming

Projects

About Me Hello! I’m an Aspiring Data Scientist transitioning from a career in logistics and procurement management to the dynamic field of data science.

Get to know me!

Hi, I’m Vasilis Katsikas, an aspiring Data Scientist with a unique mix of experience in procurement management, supply chain operations, and a background in the military. Based in Athens, Greece, I’ve managed large-scale projects, streamlined logistics workflows, and led teams to success under pressure.

My time in the military taught me discipline, resilience, and the value of working as a team—qualities that I carry with me into every challenge I take on. Now, I’m channeling that same determination into my journey in data science.

I’m currently sharpening my skills through a Data Science Bootcamp at Big Blue Data Academy, where I’m learning everything from data cleaning and exploratory data analysis to machine learning and data visualization. It’s hands-on, challenging, and incredibly rewarding.

My go-to tools include Python, Pandas, SQL, web scraping, Power BI, and Excel. I’ve used them to tackle projects like analyzing sales trends, improving logistics operations, and building dashboards that turn raw data into meaningful insights.

I’m excited to connect with others who share a passion for solving real-world problems with data. Let’s explore how we can make an impact together!

Contact

My Skills

Python
SQL
Pandas
Numpy
Streamlit
Pyfim
Web scrape
EDA
PowerBI
Folium
Streamlit
Excel
Jupyter Notebook
MongoDB

Projects

Software Screenshot

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.

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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.

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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.

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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.

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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.

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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.

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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!