Ajagun Samuel

I developed a data analysis project that scrapes agricultural listings from 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...

🚀 Hi everyone! I’m a Data Scientist with deep expertise in Machine Learning, Data Analysis, and Predictive Modeling. I’m passionate about turning data into powerful insights and building innovative solutions. I’m open for collaborations and projects here on Contra. Let’s...

🧠 Customer Churn and Value Prediction with Machine Learning

I built a 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...

What My Customer Churn Project Taught Me

I just wrapped up my customer churn project and learned something big.

At first, I chased complex algorithms, perfect scores, and fancy models. They looked great on paper, but nobody could use them. So I went back to the team and simply...