Hi, I’m Emeka 👋

I am an atmospheric scientist and data science enthusiast with strong interests in Python, machine learning, air quality modeling, remote sensing, and environmental data analytics.

My work focuses on using data-driven methods to understand atmospheric pollution, improve air quality prediction, and develop reproducible workflows for scientific and applied research.

🔬 Current Research and Projects

• 🚀 Air Pollution Prediction

  I am currently developing deep learning models, including LSTM-based approaches, to predict air pollutant concentrations and support improved air quality modeling.

• 🌍 Atmospheric Science and Black Carbon Research

  My recent collaboration led to a peer-reviewed publication titled:

  “City-produced and transported black carbon: Synergy of in-situ optical measurements and modeling.”

  The article is open access and available here:
  https://doi.org/10.1016/j.atmosres.2025.108731

• 🤖 Machine Learning Applications

  I have completed projects in:

  • Sentiment analysis using modern NLP models
  • Healthcare cost prediction using machine learning
  • Loan default prediction using an Artificial Neural Network implemented with Python, TensorFlow, and Keras

🧠 Areas of Interest

I am especially interested in projects involving:

• Air quality modeling and pollution exposure assessment
• Climate and atmospheric data analytics
• Remote sensing and satellite-based environmental monitoring
• Machine learning for environmental, healthcare, business, and financial applications
• Reproducible scientific workflows using Python and Jupyter Notebooks
• Dashboards, ETL pipelines, and large-scale environmental datasets

🛠️ Tools and Skills

• Programming: Python, SQL
• Machine Learning: TensorFlow, Keras, scikit-learn
• Data Analysis: pandas, NumPy, xarray
• Visualization: Matplotlib, Seaborn, Plotly
• Geospatial and Remote Sensing: Google Earth Engine, GIS, satellite data analysis
• Workflow: Jupyter Notebooks, Git, GitHub

🤝 Collaboration

I am open to collaborating on data-driven projects across atmospheric science, environmental monitoring, machine learning, healthcare, finance, business analytics, and engineering applications.

📫 Contact

Have an idea, project, or collaboration opportunity?

Reach me at: emekaugboma@gmail.com