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data-analysis-project

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A tool for preprocessing, extracting, and identifying critical regions of interest in AFM protein sample data. The repository applies the Lennard-Jones Potential fit to analyze and model the interaction forces at the nanoscale, providing insights into protein structure and behavior.

  • Updated Sep 13, 2024
  • Jupyter Notebook

Data-driven analysis of sales performance metrics from 2014-2017, identifying key trends in product sales, regional performance, and profitability. Provides actionable insights to optimize inventory, improve profit margins, and enhance customer satisfaction in a competitive market.

  • Updated Aug 29, 2024

Data-driven analysis of inventory management and supply chain efficiency (2015-2018). Identifies key trends in product classes, sales performance, and shipping. Provides actionable insights to optimize inventory levels, reduce costs, and improve customer satisfaction in a complex supply chain environment.

  • Updated Aug 29, 2024

Data-driven analysis of customer churn in telecommunications (2015-2018). Identifies key factors influencing customer retention, provides insights on demographic and behavioral patterns, and offers strategies to reduce churn and increase customer lifetime value.

  • Updated Aug 29, 2024

The primary objective of this project is to develop a comprehensive and visually appealing Power BI dashboard that analyzes the medicine sales data for the entire year of 2023 and 2022.

  • Updated Aug 17, 2024

A comprehensive analysis of hotel booking data to understand factors influencing cancellations. This project explores trends in booking patterns, room rates, and cancellation rates using Python and data visualization libraries.

  • Updated Aug 1, 2024
  • Jupyter Notebook

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