Fashion Brand Zara's Sales Data Analysis to discover the Sales Trend in Future

Completed a Data Analysis & Machine Learning project on Zara’s Sales Trends!
In this project, I performed Exploratory Data Analysis (EDA) and built predictive models (using Random Forest and Linear Regression) to analyse how factors like price, season, section, material, and country of origin influence Zara’s sales performance.

📊 Key Insights:
Random Forest achieved better prediction accuracy (R² = 0.50)
Sales peak during Autumn & Winter seasons
WOMAN section contributes the majority of total sales
🔧 Tech Stack: Python, Pandas, Seaborn, Matplotlib, Scikit-Learn, Plotly
📄 Check out my full PDF report below — feedback is always welcome!

Access Project: https://lnkd.in/gKWfqRjv

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