At Alshaya Group - H&M Retail, I analyzed sales patterns with Python and Pandas and created Power BI reports to support inventory planning, stock allocation, and visual-merchandising decisions.
As a freelance data analyst and automation developer, I deliver project-based work in retail and e-commerce analytics, customer segmentation, churn-risk classification, sentiment analysis, and sales forecasting. I’ve also built bilingual Telegram workflows that automate data cleaning, analysis, charts, and PDF reporting.
On my Olist E-Commerce Customer Intelligence Platform project, I integrated nine relational datasets and used RFM and K-Means to identify four customer segments. I also developed a review sentiment workflow and created a Power BI dashboard, prediction API, and late-delivery alerts.
For Rossmann Store Sales Forecasting, I prepared sales data and engineered forecasting features, achieving a test RMSPE of 0.1146 with XGBoost. I also built a Power BI dashboard to explore sales trends, promotions, holidays, and store segments.
