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JoyUgoyah/README.md

Hi there!

I am Joy Ugoyah, a Machine Learning Engineer and Petroleum Engineer.

My focus: development and deployment of enterprise-scale AI solutions in diverse use cases within the energy industry, fintech, blockchain and other tech applications.

I have had excellent experience in machine learning model development and deployment, supervised and unsupervised learning, Heroku webapp deployment, ML models tailored to petroleum processes, cybersecurity, and asset price prediction.


🛠  Languages and Tools :

Python  Scikit-learn  Tensorflow  AWS  MySQL    Heroku  Flask  HTML 


🔭 I’m currently working on:

  • an AI oil and gas scale prediction software using machine learning (deployment phase),
  • a Cybersecurity Network Intruision detection system, NIDS (Deep learning x Machine learning),
  • AI oil production prediction.

🌱 I’m currently learning:

  • Machine learning model deployment

👯 I’m looking to collaborate on AI solutions and research in the energy industry. 💬 Ask me about machine learning, AI, petroleum engineering, NFTs and anything else on your mind. 📫 Chat with me: joyugoyah10@gmail.com 😄 Pronouns: she/her


Videos

Practical Application of AI in Petroleum Production - Case study: prediction of scale deposition using machine learning

Articles

Problem solving and design thinking in Machine Learning and Artificial Intelligence

Your End-to-End Guide to Solving Machine Learning Problems — A Structured Workflow

A Programmer’s Guide to Learning Effectively

Research publications

Applications of AI and Data-Driven Modeling in Energy Production and Marketing Processes

Prediction of Scale Precipitation by modelling its Thermodynamic Properties using Machine Learning Engineering (Under Review)


🔥   My Stats :

GitHub Streak Top Langs

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