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NforcheDivine/README.md

👋 Hi, I'm Nforche Divine Ako

I'm a data professional with a strong academic foundation in statistical data analysis and a growing specialization in Microsoft Fabric, Azure Synapse, and Power BI. Currently pursuing my MSc in Statistical Data Analysis at Ghent University, Belgium, I'm passionate about building robust, ethical, and real-world data solutions that improve decision-making in public health, finance, and enterprise systems.

🧰 Tech Stack

Languages: Python, SQL, R
Tools & Platforms: Power BI, Microsoft Fabric, Azure Synapse, Azure Data Factory
Libraries & Frameworks: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, TensorFlow
Others: Git, Jupyter, VS Code, Excel, Tableau, EPI INFO

📊 Featured Projects

🎯 Clinical Data Quality Pipeline (MSc Thesis)

Designed and implemented a semi-automated ETL pipeline to monitor data quality in a longitudinal sarcopenia study (250+ participants). Focused on metadata tracking, forensic validation, and reproducibility across survey and lab data streams.

💡 Customer Churn Prediction (Lloyds Bank Dataset)

End-to-end ML project using logistic regression and scikit-learn pipelines to predict customer churn. Includes data preprocessing, model evaluation, and improvement strategies.

📈 YouTube Analytics ETL API

Lightweight REST API and ETL pipeline built in Python to ingest and analyze YouTube channel analytics data.

🚀 What I'm Learning Now

  • Mastering Microsoft Fabric orchestration
  • Deploying ETL pipelines to Azure Synapse & Power BI
  • Learning DataOps & cloud CI/CD for production workflows

🌐 Connect With Me

“Data has the power to improve systems, reduce risk, and amplify human decisions — if handled with care and clarity.”
— Nforche Divine Ako

Popular repositories Loading

  1. youtube-analytics-etl-api youtube-analytics-etl-api Public

    ETL pipeline and REST API for YouTube analytics

    Python

  2. Deep-Learning-COVID-19-Chest-X-ray-Classification-with-Grad-CAM Deep-Learning-COVID-19-Chest-X-ray-Classification-with-Grad-CAM Public

    End-to-end CNN project using TensorFlow/Keras to classify X-rays (COVID vs. Normal). Includes training, evaluation, and Grad-CAM visualizations for model explainability.

    Jupyter Notebook

  3. hospital-costs-and-mortality-R hospital-costs-and-mortality-R Public

    R statistical modeling project analyzing hospital costs and in-hospital mortality using the SUPPORT dataset.

    R

  4. Customer-Churn-Prediction-End-to-End-Machine-Learning-Project Customer-Churn-Prediction-End-to-End-Machine-Learning-Project Public

    Python

  5. NforcheDivine NforcheDivine Public