Category: Applied Analytics
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Introduction In this project I set myself a very practical goal: build a daily forecasting model for steel rebar prices and turn it into a reproducible, end-to-end workflow that I can run in Python and later expose through an API. Steel is a core input for construction and infrastructure, and even small moves in its…
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Understanding Customer Behavior Through K-Means Clustering: A Practical RFM Approach The goal of this project is to use the Online Retail II dataset to build a K-means model capable of revealing natural patterns in customer behavior, without relying on predefined labels or assumptions. My intention is to understand how customers group themselves based on their…