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sales-analytics

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This repository contains results of the completed tasks for the Quantium Data Analytics Virtual Experience Program by Forage, designed to replicate life in the Retail Analytics and Strategy team at Quantium, using Python.

  • Updated Oct 30, 2023
  • Jupyter Notebook

SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.

  • Updated Sep 8, 2025
  • Python

A 4-page interactive Power BI dashboard analyzing $1.6M+ revenue (2022–2024) for VTech. It tracks KPIs, customer and marketing performance, product profitability, and transactions. Shows growth in 2022–2023, a partial drop in 2024, highlights weak regions, and gives insights for better campaigns and revenue growth. It tracks KPIs, customer and mark

  • Updated Sep 4, 2025

SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.

  • Updated Apr 19, 2025
  • Python

A Power BI project analyzing sales, profit, customers, regions, products, and shipping performance of a retail superstore. The dashboard provides a 360° view of business performance with KPIs, trends, and actionable insights.

  • Updated Sep 6, 2025

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