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Hi, I’m Stephen Kinuthia

🎓 Final year Actuarial Science Student (Graduating December 2025)
Passionate about Data Science, Machine Learning, and AI for real-world impact Based in Kenya | Open to opportunities in Tech, Data, and Innovation

I’m currently working on:

  • Modeling employee attrition rates using Weibull survival analysis
  • Celebrity Sightings in India using Multi-task Cascaded Convolutional Network (MTCNN) model together with Inception-ResNet model to perform face recognition.
  • Exploring AI agents & Bayesian modeling

I’m currently learning:

  • Applied AI lab at WorldQuant university

I’m looking to collaborate on:

  • Open-source data science projects

  • AI for social good initiatives in Africa

  • Machine learning competitions (Kaggle, Zindi)

  • I’m looking for help with:

  • Scaling ML models to production

  • Best practices in software engineering

Ask me about:

  • Survival Analysis, Time Series, Risk Modeling
  • Data storytelling with Python & R
  • Transitioning from Actuarial Science → Data Science and tech
  • Quality Assurance / Quality Engineering

Current Goals

  • Contribute to impactful open-source projects

  • Build intelligent systems that solve African challenges

  • How to reach me:

  • Pronouns: He/Him

  • Fun fact:
    I’m both a numbers person and a storytellerI love turning raw data into insights that drive action.

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  1. Crop-Disease-Classification Crop-Disease-Classification Public

    This project builds and optimizes a convolutional neural network to classify crop disease images from Uganda into five categories using transfer learning and training optimization techniques.

    Jupyter Notebook 1

  2. mlops-house-price-prediction mlops-house-price-prediction Public

    End-to-end MLOps pipeline for predicting house prices using MLflow, Streamlit, and Prefect.

    Jupyter Notebook 1

  3. walmart-sales-project-dashboard walmart-sales-project-dashboard Public

    Walmart Sales Analysis & Forecasting Dashboard 📊 A Streamlit web app for exploring, forecasting, and detecting anomalies in Walmart weekly sales data. Built with Python, Facebook Prophet, and inter…

    Jupyter Notebook 1

  4. Wildlife-Conservation Wildlife-Conservation Public

    This project focuses on wildlife conservation in Côte d'Ivoire using computer vision. It involves building deep learning models in PyTorch to classify animals from camera trap images. The final mod…

    Jupyter Notebook 1 1

  5. Insurance-price-predictor Insurance-price-predictor Public

    Predict medical insurance charges using ML models like Linear Regression, Random Forest, and XGBoost. Includes data exploration, feature importance, and a Streamlit dashboard for real-time predicti…

    Jupyter Notebook 1

  6. Traffic-Monitoring Traffic-Monitoring Public

    A real-time computer vision project for detecting and classifying traffic objects in Dhaka using pre-trained and custom YOLO models.

    Jupyter Notebook 1