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mekusgood/README.md

Hi there 👋

My name is Emeka, and I'm an atmospheric scientist interested in all things Python and Data Science!

  • 🚀 I’m currently working on Predicting air pollutant concentrations using artificial neural networks to improve air quality modeling and environmental forecasting.
  • 🔭 Developed a robust sentiment analysis system using state-of-the-art NLP models. Please, check it out!
  • 🔭 Completed a challenge on Healthcare cost prediction by machine learning.
  • 🌱 I’ve completed my task on predicting loan default using an Artificial Neural Network (ANN) implemented in Python with TensorFlow and Keras.
  • 👯 I’m open to collaborating on data-driven projects at the intersection of business, finance, healthcare, and machine learning applications across the sciences, technology, and engineering domains.
  • 💬 Ask me about: - Air quality modeling, pollution trend assessment, and climate data analytics, - Reproducible research workflows using Jupyter Notebooks, TensorFlow, and scikit-learn, - Building dashboards and ETL pipelines for large environmental datasets.
  • Send me ideas to [email protected]

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  1. Satellite-observations-NO2 Satellite-observations-NO2 Public

    Satellite observations showed a negligible reduction in NO2 pollution due to COVID-19 lockdown over Poland

    1

  2. loan-default-prediction loan-default-prediction Public

    This report documents the step-by-step approach used to train and evaluate a neural network model for classifying loan applications as either defaulted (1) or not defaulted (0), using structured data.

    Jupyter Notebook

  3. healthcare-cost-prediction healthcare-cost-prediction Public

    Using demographic and behavioral data, this research constructs a machine learning model that can forecast how much each person's healthcare will cost. We use the Random Forest Regressor to train a…

    Jupyter Notebook 1

  4. sentiment-analysis sentiment-analysis Public

    Robust sentiment analysis using RoBERTa model

    Jupyter Notebook 1