This project focuses on performing comprehensive data analysis for Atliq Grands, a hotel that has faced tough competition and a decline in revenue. By leveraging data and strategic insights, this analysis aims to empower Atliq Grands with actionable strategies for customer retention and revenue growth.
Mastering Python: Utilized Python for all aspects of data analysis.
Pandas Fundamentals: Leveraged Pandas for data manipulation and analysis.
Matplotlib: Created visualizations to effectively communicate findings.
Strategic Insight Translation: Translated data insights into actionable business strategies.
Data Understanding: Detailed documentation of data sources, types, and relevance.
Data Exploration: Exploratory data analysis (EDA) notebooks with visualizations.
Data Cleaning: Scripts and logs of data cleaning processes.
Data Transformation: Transformed datasets ready for analysis.
Insights Report: Comprehensive report with actionable insights for Atliq Grands.
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.
Feel free to explore the repository and utilize the notebooks and scripts to understand the data analysis process and findings.
For any queries or further collaboration, please reach out via Mail (dumpalavishnuteja1@gmail.com)
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.
Tags: Python, Pandas, Matplotlib, Data Analysis, Hotel Industry, Customer Retention, Revenue Growth, EDA, Data Cleaning, Data Transformation