James Ndungu

MY WORK

Here are some of the projects I have worked on, showcasing my skills in data analysis, machine learning, web scraping, and more.

1. Music Streaming Platform Usage Analyzer

  • Overview: Analyzed user behavior on a music streaming platform to understand usage patterns and recommend improvements.
  • Tools: Python, Pandas, Matplotlib
  • Link: GitHub Repository

2. Finance Transaction Analysis

  • Overview: Analyzed financial transaction data to uncover spending patterns and provide actionable insights.
  • Tools: Python, SQL, Tableau
  • Link: GitHub Repository

3. Health Analysis

  • Overview: Performed exploratory data analysis (EDA), data visualization, and built a model using K-Means and K-Nearest Neighbors (KNN) to predict health risks  and developed an app using streamlit
  • Tools: Python, Scikit-learn, Matplotlib, Seaborn, Streamlit 
  • Link: GitHub Repository

4. Employee Salaries Analysis

  • Overview: Conducted analytics on employee salary data, uncovering insights into compensation trends and patterns.
  • Tools: Python, Tableau
  • Link: GitHub Repository

5. Churn Prediction Model

  • Overview: Built a machine learning model to predict customer churn for a telecommunications company, helping to reduce customer loss.
  • Tools: Python, Scikit-learn, Logistic Regression, Random Forest
  • Link: GitHub Repository

7. Gradio Project

  • Overview: Created an interactive web-based application using Gradio to demonstrate machine learning models.
  • Tools: Python, Gradio
  • Link: GitHub Repository

8. Web Scraping Project

  • Overview: Used web scraping techniques to collect and analyze data from websites for various use cases.
  • Tools: Python, BeautifulSoup, Selenium
  • Link: GitHub Repository

Finance Transaction Analysis (SQL + Python)

Overview:
Analyzed financial transaction data by combining SQL and Python.

 Used SQL to extract and filter data, and Python (Pandas and Seaborn) to clean, analyze, and visualize key trends like customer spending patterns and transaction anomalies.

Tools: SQL, Python, Pandas, Seaborn, Matplotlib