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Agbasimere/README.md

Hi 👋, I'm Kingsley

🚀 Building Systems that help businesses save costs & scale faster



🧠 About Me

name: Kingsley Agbasimere
location: Nigeria 🇳🇬
role: Software Engineer | Automating Systems 

focus:
  - Scalable Web Applications
  - AI Agents for Businesses
  - Automation Systems (cost saving + revenue growth)
 

currently_building:
  - Briv (Automation Agency)
  - AI-powered business tools

mission:
  "Help businesses replace manual work with intelligent systems"

🚀 What I Do (Value Proposition)

  • Build AI agents that automate business workflows
  • Replace repetitive tasks with intelligent systems
  • Help businesses save costs & increase revenue
  • Develop scalable web platforms for startups

🧰 Tech Stack

💼 Featured Projects

  • AI Chatbot for Real Estate (Lead Capture System)
  • Business Performance Prediction Model
  • Heart Disease Prediction ML System
  • Automation Systems for SMEs

📈 Contribution Graph


💭 Philosophy

"Don't just build apps. Build systems that solve money problems."


📬 Let's Work Together

💡 If you're a business owner or startup looking to automate and scale

👉 Let's build something powerful together


Popular repositories Loading

  1. Agbasimere Agbasimere Public

    Config files for my GitHub profile.

  2. alx-pre_course alx-pre_course Public

    I'm now a ALX Student, this is my First repository as a full-stack engineer

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  3. alx-zero_day alx-zero_day Public

    I'm now a ALX Student, this is my first repository as a full-stack engineer

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  4. alx-system_engineering-devops alx-system_engineering-devops Public

    My second repo

  5. heart-disease-prediction-app heart-disease-prediction-app Public

    Machine learning–powered heart disease prediction app built with Streamlit. Includes data preprocessing, Random Forest model training, and an interactive user interface for making real-time predict…

    Jupyter Notebook

  6. mtn-customer-churn-prediction mtn-customer-churn-prediction Public

    A complete end-to-end machine learning project designed to predict customer churn for a telecom provider (MTN) using structured customer data. This project covers data cleaning, feature engineering…

    Jupyter Notebook