Ajagun Samuel
Data Scientist | ML Engineer | AI & Data Automation Expert
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I developed a data analysis project that scrapes agricultural listings from Jiji.ng (http://Jiji.ng) to uncover pricing patterns, product trends, and regional market insights. Using Python, Pandas, NumPy, BeautifulSoup, Requests, and Plotly, I built a multi-page Streamlit app with interactive visualizations and summary statistics. Check out the live app here (https://jiji-agriculture-foodstuff-233.streamlit.app/) and the code on GitHub here (https://github.com/Netlution/Jiji-Agriculture-Foodstuff.git). I want to share my web scraping, data analysis, and visualization skills to help others turn raw data into actionable insights.
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🧠 Customer Churn and Value Prediction with Machine Learning
I built a Streamlit app (https://customa-churn-prediction-model.streamlit.app/) that predicts customer churn and estimates customer value using telecom data. The app uses a Random Forest model trained on features like call failures, complaints, SMS frequency, and subscription length to help businesses spot at-risk and high-value customers.
Developed with Scikit-learn, Pandas, Matplotlib, and Streamlit, it turns customer data into actionable insights for better retention and decision-making.
Try the live app (https://customa-churn-prediction-model.streamlit.app/) or explore the GitHub repo (https://github.com/Netlution/Customer-Churn-Prediction-App).
#DataScience #MachineLearning #Streamlit #Python #CustomerChurn #AI #CustomerRetention #RandomForest
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Love & Logic Kajabi Platform Development
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