Skip to content
View DIalexalatzas's full-sized avatar

Block or report DIalexalatzas

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
DIalexalatzas/README.md

Hi there, I'm Alex 👋

This page currently showcases my academic projects, with more to come as I continue growing as a developer.

🚀 About me

I'm an undergraduate student at the University of Athens, majoring in Computer Science and currently completing my final graduation project.
I have 2 years of practical IT consulting experience and a strong foundation in programming and databases.

  • 📊 I'm passionate about the full data lifecycle, from data extraction and transformation to analysis and insight generation.
  • 💪 In my free time, I train as a calisthenics athlete.
  • 🎮 I also enjoy story-rich and competitive video games.
  • ⚙️ Recently started playing with Raspberry Pi, exploring small projects and learning as I go.
  • 📭 You can reach me through my LinkedIn profile.

🛠️ Tech Stack

Languages

  • SQL (professional experience)
  • Python (academic experience)
  • C++ (academic experience)

Frameworks & Tools

  • Power BI (professional experience)
  • PostgreSQL (professional experience)
  • Pandas, NumPy, Matplotlib (academic experience)

Other skills

  • Data analytics fundamentals
  • Business Intelligence concepts
  • Professional presentations to technical and non-technical audiences

Pinned Loading

  1. Data-Driven-Insights-for-Marketing-Campaign Data-Driven-Insights-for-Marketing-Campaign Public

    Customer segmentation and purchasing behaviour analysis for a marketing campaign using data mining techniques.

    Jupyter Notebook

  2. Books-Recommendation-System Books-Recommendation-System Public

    Movie genre prediction from plot descriptions using natural language processing and traditional machine learning techniques.

    Jupyter Notebook

  3. Pattern-Recognition-Project-Faces-Recognition Pattern-Recognition-Project-Faces-Recognition Public

    Implementation of face recognition, reconstruction using Egienfaces and SVD and parameter optimization with Gradient Descent

    Jupyter Notebook

  4. File-Synchronization-Systems File-Synchronization-Systems Public

    A process-based local FileSync using pipes and a networked thread-based system using TCP. Both support real-time replication, task queues and logging.

    C++