Skip to content
View ietimfon's full-sized avatar

Block or report ietimfon

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ietimfon/README.md

Hi there, I'm Ime Eti-mfon 👋

I build data systems that solve real business problems.

My tech journey began with data science, but over the years my focus has expanded beyond building machine learning models. Today, I work across the full data lifecycle -designing data pipelines, developing analytics solutions, building machine learning applications, and creating scalable architectures that turn data into business value.

I'm particularly interested in the intersection of Data Engineering, Machine Learning, MLOps, Enterprise Data Architecture, and AI. My goal is simple: build intelligent systems that organizations can trust, scale, and rely on.

Alongside my professional work, I'm building Zilstack - a data solutions company focused on helping organizations unlock the full value of their data through Analytics, Business Intelligence, Machine Learning, and Data Engineering.

I enjoy solving difficult problems, writing about technology, contributing to open-source projects, and continuously learning.

What You'll Find Here

This GitHub is where I document my learning journey and share projects across:

  • Data Engineering
  • Data Science
  • Machine Learning
  • MLOps
  • Business Intelligence
  • Enterprise Data Architecture
  • Cloud Data Platforms
  • Data Visualization
  • AI Applications

Expect practical projects, reusable code, technical articles, and experiments focused on solving real-world business problems.

Technical Stack

  • Languages: Python, SQL
  • Data Engineering: Apache Airflow, ETL & ELT Pipelines, Data Warehousing, Data Modeling, PostgreSQL, MySQL
  • Data Science & Machine Learning: Pandas, NumPy, Scikit-learn, TensorFlow, Statistical Analysis, Predictive Modeling
  • Analytics & BI: Power BI, Excel, Dashboard Development, KPI Design, Business Analytics
  • Cloud: AWS, Microsoft Azure

Current Focus

At the moment I'm focused on:

  • Building production-ready data pipelines
  • Designing scalable data architectures
  • Learning advanced MLOps practices
  • Developing cloud-native data platforms
  • Publishing technical articles and open-source projects
  • Growing Zilstack into a full-stack data solutions company

Long-Term Vision

My long-term ambition is to become a Data Architect, designing enterprise-scale data platforms that enable organizations to make better decisions, deploy AI responsibly, and build intelligent products.

I also want to contribute to the global data community through open-source software, technical writing, research, and mentoring.

Let's Connect

I enjoy connecting with people working in Data Engineering, AI, Analytics, and Enterprise Architecture.

Whether it's discussing ideas, collaborating on projects, or sharing knowledge, I'd love to connect.

LinkedIn: https://www.linkedin.com/in/imeetimfon/

Pinned Loading

  1. Customer-Churn-Prediction-for-a-Telecom-Company Customer-Churn-Prediction-for-a-Telecom-Company Public

    This project develops a machine learning system to predict customer churn for a Telecom company. The solution helps identify at-risk customers and provides actionable insights to reduce churn rates.

    Jupyter Notebook 1

  2. Malware-Prediction-and-Windows-Device-Clustering Malware-Prediction-and-Windows-Device-Clustering Public

    The aim of this project is to predict the probability of a Windows machine being infected by malware. It also groups machines into clusters based on shared characteristics.

    Jupyter Notebook 1

  3. Superstore-Sales-Analysis-and-Prediction Superstore-Sales-Analysis-and-Prediction Public

    This project analyzes retail sales data to uncover key trends, identify growth opportunities, and provide actionable insights. The goal is to deliver accurate sales forecasts, empowering the organi…

    Jupyter Notebook 1

  4. Advertising-Sales-Prediction Advertising-Sales-Prediction Public template

    In this project, I trained a machine learning model to make sales prediction based on amount spent on TV, radio, and newspaper advertisement.

    Jupyter Notebook

  5. ietimfon ietimfon Public

  6. Weather-Analytics-Pipeline Weather-Analytics-Pipeline Public

    This project is a production-style ETL and ELT pipeline that extracts weather data from the Open-Meteo API (https://open-meteo.com/), transforms and validates it, loads it into a star-schema SQL da…

    Python 1