Using a combination of Excel, SQL, and Tableau, I delved into the extensive datasets comprising over 82k rows of data from Netflix's shows and movies library. Through data simplification and analysis, I uncovered fascinating insights and intriguing facts about the content available on the platform.

The Fifa-Dataset-SQL-Data-Analysis project uses SQL to explore FIFA player data, analyzing performance and attributes to extract meaningful insights on player statistics, trends, and patterns in football.

Solutions to SQL Projects available on DataCamp.

Analysis of sales pipeline data from a fictitious company that sells computer hardware

Food sales data model

Utilizing a combination of Excel, SQL, and Power BI, I delved into an extensive dataset comprising over 50,000 entries of pizza sales data from our business. Through meticulous data simplification and analysis, I uncovered compelling insights and illuminating trends about sales performance and customer preferences within the pizza market.

Using SQL, and Tableau, I dove into Netflix's massive dataset of 82,000 rows containing shows and movies. I simplified and analyzed the data, revealing cool insights and interesting facts about what's available on the platform. These tools helped me find patterns, uncover trends, and share a clear picture of Netflix's diverse content world

SQL Dependency Extraction Tool

Creating data flow diagrams for PostgreSQL

Analysing pizza sales using sql and getting insights from the data

Data analysis of pizza chain's Domino's and Papa John with Python & pandas.

This project analyzes pizza sales data to gain insights into customer behavior and revenue patterns. Key analyses include customer insights, popular pizza types and sizes, revenue generation, and order trends. The findings help optimize menu offerings, staffing, and marketing strategies to boost overall business performance.

Transforming banking operations with MySQL Bank Management System: robust schema, advanced queries, views, and security measures ensure efficiency and data integrity. Ready to revolutionize the industry.

This repository contains the code and data for analyzing pizza sales using SQL Server as the data store and Power BI for data visualization and analysis. Explore sales trends, customer preferences, and more to gain insights into pizza sales using this repository.

Using a combination of Excel, SQL, and Tableau, I delved into the extensive datasets comprising over 82k rows of data from Netflix's shows and movies library. Through data simplification and analysis, I uncovered fascinating insights and intriguing facts about the content available on the platform.

This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These…

This repository is a series of analyses on the global COVID data.

This repository contains an analysis of Netflix's movies and TV shows dataset, offering insights into content distribution, quality, popularity, and more.

Rakshayani Thyagu's Portfolio