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Welcome to my Mentorness Internship repository! ๐Ÿš€ This repo showcases my journey into the world of data analysis ๐Ÿ“Š, where I've tackled real-world challenges and honed my skills in SQL and Power BI. Explore the tasks below to see how Iโ€™ve transformed data into meaningful insights.

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๐ŸŽ“ Mentorness Internship - Batch MIP-DA-10

Welcome to my repository for the Mentorness Internship! This repository showcases the tasks I completed as part of Batch MIP-DA-10, where I honed my data analysis and visualization skills using SQL and Power BI.

๐ŸŒŸ Internship Tasks Overview

1. ๐ŸŽฌ Reel Task: Indexing Overview in SQL

Topic: Indexing Overview: Introduction to indexes and their role in improving query performance by speeding up data retrieval.

In this task, I created with Canva an engaging reel to explain the concept of indexing in SQL. The reel covers:

  • โ˜‘๏ธ ๐‘พ๐’‰๐’‚๐’• ๐’Š๐’๐’…๐’†๐’™๐’†๐’” ๐’‚๐’“๐’†: A brief introduction to indexes in SQL and their purpose.
  • โ˜‘๏ธ ๐‘ฏ๐’๐’˜ ๐’•๐’‰๐’†๐’š ๐’˜๐’๐’“๐’Œ: An overview of how indexes speed up data retrieval by organizing data in a way that allows faster searches.
  • โ˜‘๏ธ ๐‘ท๐’†๐’“๐’‡๐’๐’“๐’Ž๐’‚๐’๐’„๐’† ๐‘ฐ๐’Ž๐’‘๐’‚๐’„๐’•: How indexes can significantly improve query performance but may come with trade-offs.

๐ŸŽฅ Watch the Reel


2. ๐Ÿจ Hotel Reservation Analysis in SQL

Objective: Analyze hotel reservation data to extract meaningful insights and trends.

In this task, I utilized SQL to perform a detailed analysis of hotel reservation data. The analysis includes:

  • โ˜‘๏ธ ๐‘บ๐’†๐’‚๐’”๐’๐’๐’‚๐’ ๐‘ฉ๐’๐’๐’Œ๐’Š๐’๐’ˆ ๐‘ป๐’“๐’†๐’๐’…๐’”: Unraveled peak seasons, shoulder months, and low-demand periods to help hotels prepare accordingly.
  • โ˜‘๏ธ ๐‘ฎ๐’–๐’†๐’”๐’• ๐‘ฉ๐’†๐’‰๐’‚๐’—๐’Š๐’๐’“ ๐‘จ๐’๐’‚๐’๐’š๐’”๐’Š๐’”: Identified patterns in lead time, cancellation rates, and market segments, allowing hotels to tailor their strategies.
  • โ˜‘๏ธ ๐‘จ๐’„๐’•๐’Š๐’๐’๐’‚๐’ƒ๐’๐’† ๐‘บ๐’•๐’“๐’‚๐’•๐’†๐’ˆ๐’Š๐’†๐’”: Formulated data-driven recommendations to improve room occupancy, revenue, and guest experience.

๐Ÿ“ View SQL Analysis


3. ๐ŸŽถ YouTube Songs Analysis in Power BI

Objective: Visualize and analyze song data using Power BI/Tableau.

For this task, I leveraged Power BI to create interactive visualizations that uncover patterns and insights in song data. Key aspects of the analysis include:

  • โ˜‘๏ธ ๐‘ป๐’๐’‘ ๐‘บ๐’๐’๐’ˆ๐’” ๐’ƒ๐’š ๐‘ฝ๐’Š๐’†๐’˜๐’”: Identifying the most popular songs based on view counts.
  • โ˜‘๏ธ ๐‘ณ๐’Š๐’Œ๐’†-๐’•๐’-๐‘ฝ๐’Š๐’†๐’˜ ๐‘น๐’‚๐’•๐’Š๐’: Analyzing songs with the highest engagement through likes.
  • โ˜‘๏ธ ๐‘ซ๐’–๐’“๐’‚๐’•๐’Š๐’๐’ ๐’—๐’”. ๐‘ท๐’๐’‘๐’–๐’๐’‚๐’“๐’Š๐’•๐’š: Exploring the relationship between song duration and popularity.
  • โ˜‘๏ธ ๐‘ป๐’‚๐’ˆ ๐‘จ๐’๐’‚๐’๐’š๐’”๐’Š๐’”: Understanding the impact of tags on song discovery and views.

๐Ÿ“Š Explore the Dashboard


๐Ÿ“ฝ๏ธ Presentation Video

Iโ€™ve also created a presentation video summarizing my work and insights from the project. Watch it to get a comprehensive overview of my journey.

Hotel Analysis ppt video

Songs Analysis ppt video


๐Ÿš€ About the Internship

The Mentorness Internship provided a platform to enhance my data analysis skills and gain practical experience in SQL and data visualization tools like Power BI. Through these tasks, I developed a deeper understanding of database management, data retrieval, and the power of visual storytelling in data analysis.

๐Ÿค Let's Connect

Thank you for visiting my repository! Feel free to explore the tasks and reach out if you have any questions or suggestions.

About

Welcome to my Mentorness Internship repository! ๐Ÿš€ This repo showcases my journey into the world of data analysis ๐Ÿ“Š, where I've tackled real-world challenges and honed my skills in SQL and Power BI. Explore the tasks below to see how Iโ€™ve transformed data into meaningful insights.

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