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paul-gailey/README.md

Hi, I'm Paul 👋

Visitor GitHub followers

Currently

Software/Data Engineer + Analyst for Armadillo Analytics and Data-IS.

  • Formally trained as an Electrical & Electronics Engineer and Data Scientist.
  • Interested in all things Tech, AI, and Finance.

🎓 Education

  • MSc Data Science & AI - King's College London
  • BEng Electrical & Electronics Engineering - Newcastle University

📄 Research Papers

  • Predicting future crime demand for London - where will future demand come from?
  • Determination of Weight of Livestock using Machine Learning & Image Segmentation.

🛠️ Technologies Used:

  • Support Vector Machines
  • ML for Classification
  • NLP
  • OpenCV

🚀 Areas of Interest

  • Blockchain Technologies
  • High-Frequency Trading
  • Network Data
  • Data Mining

💻 Familiar Technologies

  • Languages: Python, GoLang, C++, SQL, Gremlin, GraphQL
  • Databases: MongoDB, CosmosDB, Relational Databases
  • Cloud: Microsoft Azure, AWS
  • Tools: Kubernetes, Docker, Kafka, Postman
  • Frameworks/Libraries: FastAPI, Pandas, NumPy

📫 How to reach me:

Email LinkedIn

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  1. NLP-Visualisation NLP-Visualisation Public

    This notebook will look at data from the wikipedia pages of all Turing Award winners. In a first step the notebook will fecth the winners and the introduction of their wikipedia pages. Then the not…

    Jupyter Notebook 1

  2. NDA-CW-1 NDA-CW-1 Public

    Code which follows a report for a coursework on Network Data Analysis.

    Jupyter Notebook

  3. Crypto-Mixing Crypto-Mixing Public

    FOR EDUCATIONAL USES ONLY, a theoretical method of mixing cryptocurrencies.

    Python