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Achievement: Pull Sharkx2

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ikebude/README.md

Hi there 👋🏾! I’m Precious (Chidi) Ikebude.

I am a BI Scientist and AI/ML Engineer with 3+ years of experience building end-to-end, production-ready data and AI systems. My expertise spans the full data lifecycle, from ETL/ELT pipeline design and BI architecture to ML model development, containerized deployment, and MLOps. I have delivered fraud detection systems using Docker, Azure Container Registry, and model monitoring workflows, with a strong emphasis on automation, observability, and AI governance. What differentiates me is my ability to bridge business insight with engineering precision, translating economic and operational problems into scalable, technically sound AI solutions that move organizations from reactive reporting to proactive, AI-powered decision intelligence, responsibly and at scale.

My goal is simple: help organizations transition from reactive reporting to proactive, AI-powered decision intelligence — responsibly, efficiently, and at scale.

Connect with Me

GitHub

Feel free to reach out for collaboration or to discuss exciting opportunities!

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  1. MLOps-Fraud-Detection MLOps-Fraud-Detection Public

    this project involved designing and deploying a production-ready fraud detection system for financial transactions, integrating predictive analytics with modern MLOps practices to ensure reliabilit…

    Python 1

  2. TLC-CabFare-Intelligence TLC-CabFare-Intelligence Public

    Data-driven analysis of NYC Yellow Taxi (2017) trip records using Python & Tableau — uncovering fare patterns, trip behaviors, and demand trends to optimize urban mobility and revenue insights.

    Jupyter Notebook 2

  3. Waze-Churn-Prediction Waze-Churn-Prediction Public

    EDA and predictive modeling on Waze user data to uncover churn drivers and build actionable retention strategies.

    Jupyter Notebook 2

  4. S-P-500-ED-Analysis S-P-500-ED-Analysis Public

    📊 Exploratory Data Analysis of S&P 500 companies using SQL & Python. Uncover insights into sector distributions, financial metrics, and geographic trends within the U.S. stock market.

    Jupyter Notebook 2

  5. Power-BI-DashBoard-Projects Power-BI-DashBoard-Projects Public

    Creating Interactive dashboards and KPI to understand data.

    Python 3 1

  6. Quering-Data-with-SQL Quering-Data-with-SQL Public

    2