Welcome to my repository to showcase my MySQL related Projects!

Exploratory Data Analysis on Student Performance

Always know what to expect from your data.

OpenRefine is a free, open source power tool for working with messy data and improving it

Correlated, cleaned, and visualized data from the movies database using Python3 through Jupyter Notebooks

Installer for DataKitchen's Open Source Data Observability Products. Data breaks. Servers break. Your toolchain breaks. Ensure your team is the first to know and the first to solve with visibility across and down your data estate. Save time with simple, fast data quality test generation and execution. Trust your data, tools, and systems end to end.

This model will tell you weather mail is spam or not

Cricket Player Analysis to find the best Players to Play the Final Match

This repository contains an R script to scrape movie reviews from IMDB.

My Repository for Practicing and working with - / handling messy Data.

This project involves working with comprehensive football dataset covering the Top 5 leagues in Europe from 2014-2020. I worked on Data Extraction,Data cleaning and manipulation,Data Modelling and Data Loading

Analyzing an E-commerce Customer Behavior and Purchase Dataset with SQL and performing Exploratory Data Analysis (EDA) to derive valuable insights to inform strategic decision-making in e-commerce.

This study aims to analyze flight booking data from "Ease My Trip" website, using statistical tests and linear regression to extract insights. By understanding this data, valuable information can be gained to benefit passengers using the platform.

Sales And Financial Analytics Reports

Cleaned the data from the NashvilleHousing database by breaking columns up, deleting the old ones, update values in other columns, and removing duplicate rows.

Benchmark for bi-level optimization solvers

Repository for Practicing Data Analysis and Visualization as well as Projects

The aim of this project is to perform Exploratory Data Analysis (EDA) of the London housing dataset. The analysis includes data loading, cleaning and visualization to find key trends and patterns in housing prices, houses sold, and crime rates across various areas in London over time.

Targeting top 1000 customers using RFM ANALYSIS with Excel & PowerBI

Analyzed the data of Vrinda Store By creating Dynamic Dashboard