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gpsyrou (George Spyrou) · GitHub

Overview Repositories 14 Projects 5 Packages Stars 7
18 followers · 22 following

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gpsyrou/README.md

👋 Hi there!

Welcome to my GitHub profile! I'm George, a Data Scientist based in London, UK 🇬🇧. I specialize in using data-driven solutions to tackle real-world problems, leveraging my background in statistics 📊 and computer science 💻.

🚀 About Me

I'm passionate about exploring the intersection of data science and software development. My focus lies in:

  • Building scalable ETL/ML pipelines
  • Developing advanced machine learning models
  • Designing interactive visualization tools to make data insights more accessible & actionable

I enjoy working with a wide range of algorithms, from classification & regression to clustering & graph models, always looking for innovative ways to extract meaningful insights from data.

"Life is short, use Python." 🐍

🔧 Tech Stack

Languages & Tools


Data & ML


Cloud & DevOps


📚 Continuous Learning

I believe in lifelong learning and enjoy working on side projects to expand my skills and experiment with new technologies. Check out my projects here:
👉 GitHub Repositories

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  1. tube-virality tube-virality Public

    The YouTube Virality project collects and analyzes trending video data from multiple countries using the YouTube API. It aims to gather metrics like view counts, likes, and descriptions, then apply…

    Python 38 7

  2. Text_Analysis_of_Consumer_Reviews Text_Analysis_of_Consumer_Reviews Public

    Natural Language Processing (NLP) and analysis on reviews about delivery companies in the UK based on reviews extracted from the Trustpilot website

    Python 2 2

  3. Twitter_Sentiment_Analysis Twitter_Sentiment_Analysis Public

    Exploration of the Twitter API and sentiment & topic analysis on tweets relevant to COVID-19

    Python 7 6

  4. Categorization_Consumer_Complaints Categorization_Consumer_Complaints Public

    Use of XGboost and Multinomial Naive Bayes, along with AWS SageMaker, to perform automatic text classification of consumer complaints to their respective categories

    Python 2

  5. Binary_Classification_of_Bank_Marketing_Campaigns Binary_Classification_of_Bank_Marketing_Campaigns Public

    Exploratory data analysis (EDA) and development of classification algorithms (Logistic Regression, Random Forest) to predict clients that are most likely to subscribe to a bank's product, as a resu…

    Jupyter Notebook

  6. Vaccines_Trade_Network Vaccines_Trade_Network Public

    Implementation of ARIMA and Holt-Winters Exponential Smoothing models for the analysis of the global network of human vaccines for the period 2010-2019

    Python

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