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salesanalysis

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A comprehensive machine learning project using Facebook's Prophet to forecast future sales. The model utilized historical data and effectively accounted for various factors, including seasonality effects, demand fluctuations, holiday impacts, promotional activities, and competitive influences.

  • Updated May 27, 2024
  • Jupyter Notebook

• Identified Sales Trends Across Different States Over The Years. Analyzed The Different Metrics Like Sales, Customer Acquisitions, Total no. Of Orders For Each Year. • Extract Useful Data using SQL and Created Dashboard using Excel. • It Helps To Create Sales Strategy Across Different States in the Future. • Techstack : Excel | SQL | Power Point

  • Updated Feb 15, 2023

Successful ecommerce businesses need to optimize every stage of the customer journey, from first touch to purchase. This ecommerce dashboard is a curated set of metrics, KPIs and other data that’s designed to highlight, in the clearest possible way, trends, anomalies and information related to an online store that regularly warrants attention.

  • Updated Jan 15, 2023

Dive into comprehensive e-commerce sales analytics with this Excel-based dashboard. Gain valuable insights into key metrics, visualize trends, and make informed business decisions. Explore the GitHub repository for the source code and start optimizing your e-commerce performance.

  • Updated Jan 20, 2024

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