Skip to content
View ietimfon's full-sized avatar
5 followers · 8 following

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, 👋

I'm Ime Eti-mfon, a Data Scientist with a strong focus on Machine Learning and Deep Learning. I'm passionate about leveraging data to uncover insights and drive impactful business outcomes.

Skills

  • Machine Learning: Regression, classification, clustering, model evaluation
  • Deep Learning: TensorFlow, conceptual understanding of neural networks
  • Programming: Python (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn)
  • Databases: SQL (MySQL, PostgreSQL, SQLite)
  • Visualization: Power BI, Excel
  • Data Management: Data cleaning, preprocessing, and feature engineering

Current Focus

  • Deepening my expertise in machine learning and AI through hands-on projects and continuous learning.
  • Applying Machine Learning techniques to solve real-world problems and create data-driven solutions.
  • Contributing to open-source projects and collaborating with the data science community.

Connect

Let's connect and explore the potential of data science together. Feel free to reach out to discuss projects, collaborations, or anything data-related.

Reach out to me on LinkedIn via: 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