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datatransformation

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A comprehensive project delved into the data analysis of various functions of a Hardware manufacturing company like Finance, Sales, Marketing & Supply Chain which will help to generate insights and make data driven decisions in these departments.

  • Updated Sep 14, 2024

🚀 Excited to share my latest project, a Bank Loan Analysis Dashboard developed in Power BI. This dashboard provides a consolidated view of key metrics, offering deep insights into loan applications, funding, and repayments.

  • Updated Sep 3, 2024
  • Jupyter Notebook

Conducted a comprehensive data visualization analysis using PowerBI on IPL data to determine the optimal candidate for the Impact Player role. This analysis focuses on evaluating various match situations to identify which player, among the potential impact players, is most likely to create a significant impact when needed.

  • Updated Aug 20, 2024
  • Python

This ETL project was designed to demonstrate the development of a scalable data pipeline for customer sales analysis. It covers all essential steps, from data extraction to transformation and loading into a database, with Apache Airflow used.

  • Updated Aug 19, 2024
  • Python

Flight Insights is a Power BI project analysing 2,000,000 commercial flights from major US airports to uncover patterns in flight delays and cancellations. The project leverages a structured business intelligence workflow, including data transformation, modelling, and visualisation, to create an interactive dashboard to bring our data to life.

  • Updated Aug 18, 2024

The project utilizes real-world survey data to identify the target audience, product offering, and pricing strategy, presenting a data-driven strategy for opening a coffee shop in the United States. This project uses Power Query and Power Pivot in Excel to transform and analyze different question types used in surveys.

  • Updated Aug 14, 2024

Compelling data of HR (Human Resource) in Excel and Power BI, acquiring reliable Employee data and meticulously cleaning it to ensure accuracy. Exploring the data visually using charts and graphs to identify trends, then delve deeper with statistical analysis to uncover patterns and relationships.

  • Updated Jul 4, 2024

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