🎓 MSc in Data and Web Science – Aristotle University of Thessaloniki
💻 Data Scientist with experience in demand forecasting, ML prototyping, and scalable data solutions
🧠 Interested in Natural Language Processing, especially its applications in healthcare and accessibility
📍 Based in Thessaloniki, Greece
📬 [email protected] | LinkedIn

I'm a data scientist with a solid background in time series forecasting, statistical modeling, and machine learning, passionate about building tools that solve real-world problems. My recent work has focused on demand forecasting for retail and supply chain optimization, where I’ve designed scalable forecasting pipelines, led client demos, and created in-house automation tools to improve efficiency.

I'm also deeply interested in Natural Language Processing (NLP)—especially in using LLMs to improve how people access and understand complex information. My Master's Thesis explored plain language summarization of clinical trials using models like DistilBERT and Mistral-7B.

• 🧠 Master's Thesis – Plain Language Summarization of Clinical Trials
  Developed a dataset and evaluated transformer models (DistilBERT, Mistral-7B) to make clinical trial outcomes more accessible to the public.
  → Check out the repo

• 📰 LLM Finance Summaries
  Leverage Large Language Models (LLMs) to generate concise summaries of financial and news articles, with tools for evaluation, visualization, and interactive exploration. → Check out the repo

• 📊 Probabilistic Demand Forecasting
  This repository contains my solution to a demand forecasting challenge involving the prediction of daily probabilistic demand distributions for item-store combinations. → Check out the repo

• Languages: Python, Java, C++, SQL
• ML/NLP: scikit-learn, Hugging Face Transformers, PyTorch
• Tools: Kubernetes, MongoDB, LangChain
• Other: Git, Linux, Jupyter, Streamlit

📢 Share more of my work on GitHub

📈 Keep learning and pushing boundaries in ML/AI

Thanks for visiting! 🚀