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seasonality

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Doing predictions of sales for Qatar-based user. Used timeseries, seasonal decomposition and sentiment analysis. Goal was to visualize sales, find connections between hundreds of independent variables and sales and to make the sales of the company and make them better.

  • Updated Jan 19, 2022
  • Jupyter Notebook

This project delves into Indonesia's dynamic hospitality industry, uncovering seasonal booking trends, the impact of stay duration on cancellations, and how lead time affects cancellation rates. Valuable insights guide hotels to optimize pricing, policies, and customer engagement, enhancing competitiveness in the Indonesian hospitality sector.

  • Updated Nov 2, 2023
  • Jupyter Notebook

In this project I created a notebook that contains data preparation, analysis, and visualizations for all the time series data that a mock company would need to understand including: Visual depictions of seasonality (as measured by Google Search traffic) that are of interest to the company. An evaluation of how the company stock price correlates…

  • Updated Jul 9, 2022

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