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wainaina-peter/README.md

Hello there 🙋‍♂️, my name is Peter Wainaina.

A little about me:

  • 👨‍💻 I am a dynamic, collaborative and results-oriented Software Engineer with experience in full-stack development, biased on frontend interface design and implementation with ReactJS and NextJS.

  • I also have an avid interest in Machine Learning and I love building ML Models.

  • ✔️ Highly conversant with SQL and Python .

  • 📈 I design lo-fi and hi-fi prototypes in Figma and implement the designs using Javascript frameworks like React JS, NEXT JS.

  • 👨‍💻 I write RESTful API endpoints mostly using python frameworks loke Flask and FastAPI.

  • 🚀 I build and deploy machine learning models, mostly in the fields of finance, e-commerce and Natural Language Processing.

  • 🧩 I am a strong communicator and team player with excellent problem-solving skills, adaptability to changing environments and a continuous learning mindset.

  • 👥 I’m open to collaborating on OpenSource Projects

  • 📫 My email is wainaina.pierre@gmail.com

I have previously demonstrated success in the development and maintenance of web applications, resulting in substantial improvements in application responsiveness, user engagement metrics, and project alignment with stakeholder expectations.

Pinned

  1. Time-Series-Analysis-of-the-Craigslist-Vehicle-Dataset Time-Series-Analysis-of-the-Craigslist-Vehicle-Dataset Public

    Time series Analysis of the Craigslist Vehicle dataset.

    Jupyter Notebook

  2. Customer-Churn-Prediction-Predictive-Analysis- Customer-Churn-Prediction-Predictive-Analysis- Public

    This repository contains a customer churn prediction model implemented using logistic regression.

    Jupyter Notebook

  3. Heart-Failure-Prediction-Model Heart-Failure-Prediction-Model Public

    A Machine Learning model that predicts Heart failure based on specific inputs.

    Jupyter Notebook