Computer Science Graduate

Hi, I'm Andreas Darsaklis

Data Science, Machine Learning and Backend Development

I build data-driven applications and machine learning solutions, with a particular interest in data mining, business process mining and backend systems.

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About me

Turning data into practical solutions

I am a Computer Science graduate from the Aristotle University of Thessaloniki, with a strong interest in Data Science, Machine Learning and Backend Development.

I enjoy designing software systems, analysing complex datasets and developing solutions that address real-world problems. My academic and personal projects include business process mining, market basket analysis, football analytics and backend API development.

I am particularly interested in combining data analysis with reliable software engineering to create tools that are both technically sound and practically useful.

Location: Thessaloniki, Greece
Degree: BSc in Computer Science
University: Aristotle University of Thessaloniki
Interests: Data Science, Machine Learning, Backend Development and Football Analytics

Portfolio

Featured projects

A selection of projects demonstrating my work in data analysis, machine learning and software development.

Bachelor's Thesis

The Impact of Data Quality on Business Process Discovery and Anomaly Detection

An experimental study investigating how degraded event-log data affects anomaly detection algorithms and business process discovery techniques.

Evaluated multiple anomaly detection algorithms.
Compared process discovery techniques on synthetic and real-world datasets.
Analysed precision, recall, F1-score, fitness, precision and structural process metrics.

Python
PM4Py
Pandas
Scikit-learn
Process Mining

View project GitHub

Data Mining Application

MaBaN – Market Basket Analysis

A web application that analyses transactional datasets, discovers frequent itemsets and generates association rules using the Apriori algorithm.

CSV dataset upload and validation.
Frequent-itemset discovery.
Association-rule generation.
Interactive analysis workflow.

Python
Flask
Pandas
MLxtend

GitHub

Machine Learning

Football Players Clustering by Role

A machine learning project applying K-Means clustering to player statistics from Europe's top five leagues to identify roles and playing-style archetypes.

Football-data preprocessing.
Feature selection and scaling.
K-Means clustering.
Interactive cluster visualizations.

Python
Pandas
Scikit-learn
Plotly

GitHub

Android Development

CSNotes

A collaborative Android application serving as a repository for university course notes and educational videos.

Course-content upload and browsing.
PDF discussion threads.
SQLite-backed data storage.
Developed collaboratively in a team of three.

Java
Android Studio
SQLite

GitHub

Experience

Professional experience

March 2026 – May 2026

Junior Software Developer Intern

Web2Learn

Contributed to the AISTER project, an AI-powered initiative using Natural Language Processing and Computer Vision.
Developed parts of a FastAPI backend for the AirLimnos environmental-monitoring project.
Integrated data from more than five environmental sensors through REST APIs.
Worked in an Agile environment with developers and researchers.

Python
FastAPI
REST APIs
NLP
Computer Vision
Git

July 2024 – September 2024
July 2025 - August 2025

Pool & Beach Attendant / Assistant Waiter

W Costa Navarino

Delivered customer service in a five-star luxury resort.
Worked effectively in a demanding, fast-paced environment.
Supported daily team operations while maintaining high service standards.
Received consistently strong performance evaluations.

Technical profile

Skills and technologies

Programming Languages

Python
Java
SQL
C/C++
JavaScript

Data Science & Machine Learning

Pandas
NumPy
Scikit-learn
PyTorch
Matplotlib
Seaborn

Backend Development

FastAPI
Flask
REST APIs

Databases

SQLite
MongoDB

Developer Tools

Git
Docker
Postman
Jupyter Notebook
VS Code

Technical Areas

Data Preprocessing
Data Analysis
Data Visualization
Classification
Clustering
Business Process Mining
Database Design
Feature Engineering

Academic background

Education

2022–2026

BSc in Computer Science

Aristotle University of Thessaloniki

Grade average: 8.18/10

Thesis: The Impact of Data Quality on Business Process Discovery and Anomaly Detection

Relevant areas: Machine Learning, Artificial Intelligence, Databases, Data Mining, Web Information Systems and Neural Networks.

Currently exploring

Areas of interest

Process Mining
Machine Learning
Data Science
Backend System Design
Football Analytics

Contact

Let's build something useful

I am open to opportunities and collaborations involving Data Science, Machine Learning and Backend Development.

Gmail LinkedIn GitHub