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business-recommendation

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In this project I used ML modeling and data analysis to predict ad clicks and significantly improve ad campaign performance, resulting in a 43.3% increase in profits. The selected model was Logistic Regression. The insights provided recommendations for personalized content, age-targeted ads, and income-level targeting, enhancing marketing strategy.

  • Updated Nov 6, 2023
  • 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

Perform an exploratory data analysis and provide actionable insights for a food aggregator company to get a fair idea about the demand of different restaurants and cuisines, which will help them enhance their customer experience and improve the business

  • Updated Apr 30, 2024
  • HTML

In today's competitive business landscape, understanding customer behavior is paramount for marketing success. By gaining insights into customers' unique personality traits and preferences, companies can tailor their strategies to boost engagement and conversion rates.

  • Updated Feb 23, 2024
  • Jupyter Notebook

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