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Python Projects

Predictive & Customer Analytics

A collection of three Python-based analytics projects applying statistical modeling, machine learning, and customer segmentation to real-world business questions.

Amazon | Review Score Prediction

Analyzed e-commerce data using Latent Dirichlet Allocation (LDA) to uncover product and review patterns and explore factors associated with higher average review scores.

H&M | Sales Performance Prediction

Applied Multinomial Logistic Regression to H&M apparel sales data to examine whether consistent predictors could be used to classify and forecast performance across multiple years.

Black Friday | Customer Segmentation

Used cluster analysis to segment households based on Thanksgiving survey responses, helping identify distinct customer groups and inform potential Black Friday marketing strategies.

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