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#

revenue-growth

Here are 18 public repositories matching this topic...

StrikePrick is your one-stop destination for exposing and overturning ineffective, outdated email marketing strategies. This repository offers a data-driven, humor-infused critique of commonly touted advice, using verified statistics to debunk myths and set the record straight. Designed for e-commerce brands and marketers.

  • Updated Nov 2, 2023
  • Python

The ALIGN Framework is a methodology that bridges the gap between brand identity and revenue growth. Through a 5-phase process (Assess, Link, Integrate, Generate, Navigate), organizations can map narrative gaps, select optimal communication structures, and connect storytelling metrics directly to ROI.

  • Updated Apr 24, 2026
  • HTML

This project showcases the application of data analysis techniques to solve real-world business problems in the hotel industry. By mastering essential Python libraries and methodologies, valuable insights have been derived to support Atliq Grands in enhancing customer retention and boosting revenue.

  • Updated May 17, 2024
  • Jupyter Notebook

"A comprehensive SQL-based analysis of a banking database for 'The Big Bank'. This project explores customer banking behavior, transaction trends, and account management. The analysis aims to optimize banking operations, enhance fraud detection, improve customer segmentation, and increase revenue using data-driven insights."

  • Updated Jun 16, 2025

Engineered a Power BI dashboard for Zephyr Financial, transforming over 10,100 credit card transaction records into actionable insights that increased revenue growth by 28.8%, enhanced customer segmentation and enabled targeted marketing strategies, improving operational efficiency.

  • Updated Sep 29, 2024

This project showcases the application of data analysis techniques to solve real-world business problems in the hotel industry. By mastering essential Python libraries and methodologies, valuable insights have been derived to support Atliq Grands in enhancing customer retention and boosting revenue.

  • Updated Jul 20, 2024
  • Jupyter Notebook

Customer growth analytics and recommendation engine using RFM segmentation, market basket analysis, revenue opportunity modeling, and next-best-product recommendations.

  • Updated Jul 19, 2026
  • Jupyter Notebook

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