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franciswairagu/README.md

Hi there πŸ‘‹ I'm Francis Wairagu

I'm a Data Scientist from Nairobi, Kenya passionate about transforming data into actionable insights and building intelligent systems with machine learning and deep learning.

I enjoy tackling real-world problems through data, whether it's predicting financial risk, building recommendation systems, or exploring neural networks. I'm constantly learning, experimenting, and sharing my work as I grow in the field of AI.

πŸš€ About Me

  • πŸ“Š Data Scientist specializing in Machine Learning
  • 🧠 Currently exploring Deep Learning and Neural Networks
  • 🐍 Python developer with a strong focus on data-driven applications
  • πŸ“ˆ Passionate about predictive modeling, recommender systems, and AI
  • 🌱 Always learning and building projects that solve real-world problems

πŸ› οΈ Tech Stack

Languages

  • Python
  • SQL

Data Science & Machine Learning

  • Pandas
  • NumPy
  • Scikit-learn
  • XGBoost
  • TensorFlow
  • PyTorch
  • Keras

Data Visualization

  • Matplotlib
  • Plotly

Tools

  • Git & GitHub
  • Jupyter Notebook
  • VS Code
  • Anaconda

πŸ“‚ Featured Projects

πŸ’° Financial Loan Risk Prediction

Built and evaluated multiple machine learning models to predict loan approval risk using feature engineering, hyperparameter tuning, and model evaluation.

🎬 Movie Recommendation System

Developed a recommendation engine using collaborative and content-based filtering techniques to provide personalized movie recommendations.

πŸ€– Machine Learning Portfolio

A collection of end-to-end projects covering:

  • Classification
  • Regression
  • Recommendation Systems
  • Data Visualization
  • Feature Engineering
  • Model Evaluation
  • Hyperparameter Tuning

🌱 Currently Learning

  • Deep Learning
  • Neural Networks
  • Computer Vision
  • Natural Language Processing
  • MLOps

πŸ“« Connect With Me


"Data is only valuable when it becomes understanding, and understanding becomes action."

Pinned Loading

  1. Telco-Customer-Insights-Retention-Analysis Telco-Customer-Insights-Retention-Analysis Public

    Customer churn analysis using Python, uncovering retention drivers and business insights for a telecom company.

    Jupyter Notebook 1

  2. financial-loan-risk financial-loan-risk Public

    Jupyter Notebook 1

  3. Clustering---recommendation-system Clustering---recommendation-system Public

    Datavines Analytics; three projects included, kNN modeling, Recommendation system and Market segmentation using Clustering

    Jupyter Notebook 1

  4. beijing-air-quality-prediction-using-LSTM beijing-air-quality-prediction-using-LSTM Public

    Jupyter Notebook 1