This project analyses the sales data of Vrinda Store to understand customer behavior and ultimately increase sales in the coming year.

Always know what to expect from your data.

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

SQL Data Cleaning and Exploratory Data Analysis (EDA) with MySQL

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.

A Simple Real-Time Data Cleaning Using Power Query in Power BI

Here, I'll be sharing my learning journey in the field of artificial intelligence as a college student. This is where I'll document and showcase projects, code snippets, and materials from my AI course at university.

This project extracts and cleans raw YouTube data from excel-csv (Kaggle) through SQL and identifies the top-performing UK-based YouTubers. Data Stack: Excel | Microsoft SQL Server | Power BI

Comprehensive analysis and modeling of the Wine Quality dataset, including exploratory data analysis (EDA), data preprocessing, model training, and performance evaluation using MSE and RMSE.

This repository build to showcase a project on customer personality analysis. In this I have classified the customer into two clusters.

Analysed data of Fashion Store and prepared advanced dashboard using MS Excel.

Zomato Restaurants Rating:

Machine Learning programs using some aspects of Data Science.

Detailed exploration of random forest regressors, including data cleaning, model building, and performance evaluation on various datasets.

👏Comprehensive exploration of decision tree classifiers, including data cleaning, model building🏩, and performance evaluation on various datasets.

This is a Covid-19 Data Analytics Project which includes Data Cleaning, EDA and Power BI Dashboard

ML and Data Science-based recommendation system

This project aims to analyze and visualize customer journeys for Souled Store, providing insights into customer behavior and optimizing the shopping experience. Machine learning was used to predict at what journey stage customer tends to leave their journey with the brand

This include all my data analysis study works and assignments.

A personal toolset built over time by Ricco