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Emart29/README.md

👋 Hi, I'm Nwanguma Emmanuel

📊 Data Scientist | Future AI & Machine Learning Engineer

I’m a data-driven professional passionate about transforming raw data into actionable insights and intelligent solutions. With strong skills in Python, SQL, Tableau and Machine Learning, I aim to bridge the gap between data analysis and real-world decision-making through innovative AI applications.

🔧 Technical Skills

  • Programming Languages: Python, SQL
  • Data Analysis & Visualization: Pandas, NumPy, Tableau, Quicksight , Matplotlib, Seaborn
  • Machine Learning & AI: Scikit-learn, TensorFlow, Keras
  • Databases: MySQL, BigQuery
  • Other Tools: Git, Jupyter Notebook, Google Colab, PyCharm
  • Core Competencies: Data Wrangling, Exploratory Data Analysis, Feature Engineering, Model Development, Predictive Analytics, Data Storytelling, AI development and MLOps (learning phase)

🚀 Current Focus

  • Building and deploying end-to-end Machine Learning projects using Python
  • Expanding my portfolio of Data Science and AI case studies
  • Learning MLOps and model deployment techniques for scalable AI systems

✍️ Technical Articles & Study Blog

I share insights and learning experiences on my Medium blog, focusing on:

  • Data Science, AI, and Machine Learning concepts
  • Project breakdowns and real-world applications
  • Practical Python tips and study notes 📰 Read my articles on: Medium

📚 Professional Development

  • Advancing my skills in AI Engineering for Data Scientist and Applied Machine Learning
  • Exploring Deep Learning for predictive modeling and intelligent automation

💡 Open to Collaborate On

  • Data-driven solutions that solve real-world business challenges
  • AI-powered automation and analytics projects
  • Open-source data science and ML initiatives

📫 Let’s Connect

LinkedIn

⭐ Always open to collaboration, learning opportunities, and innovative AI challenges.

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  1. Heart-Disease-Prediction Heart-Disease-Prediction Public

    🫀 Production-ready ML system for heart disease risk assessment with 88.5% accuracy. Features FastAPI REST API, Streamlit dashboard, SHAP explainability, MLflow tracking, and Docker deployment. Demo…

    Jupyter Notebook 2

  2. customer-churn-prediction customer-churn-prediction Public

    Machine Learning web app that predicts telecom customer churn with 80.4% accuracy using Logistic Regression and Streamlit

    Jupyter Notebook 1

  3. sales-forecasting-dashboard sales-forecasting-dashboard Public

    A time series forecasting system that predicts future sales with interactive visualizations.

    Jupyter Notebook 1

  4. ab-testing-framework ab-testing-framework Public

    A comprehensive A/B testing system that helps businesses make data-driven decisions through proper statistical analysis.

    Jupyter Notebook 1

  5. iOpsAI iOpsAI Public

    AI-powered data analysis platform with automated insights, interactive visualizations, real-time collaboration, and a template marketplace. Built with FastAPI, Next.js, and Groq LLM.

    Python 1

  6. recommendation-system recommendation-system Public

    A sophisticated product recommendation engine combining Collaborative Filtering, Content-Based Filtering, and Matrix Factorization (SVD) to deliver personalized recommendations.

    Jupyter Notebook 1