karanbhatt99
👋 Hi, I'm Karan Bhatt, a data analyst with 3+ years of experience in data analysis and visualization.
Pinned Repositories
Cab-Booking-Service
Football-Players-Analysis-in-R
This project aims to analyze the overall performance of football players using FIFA football player dataset.
HR-Analysis-In-PowerBI
Exploring the Employee Attendance Dashboard for April to June 2022. It offers insights on presence, WFH, and sick leave percentages, plus trends, using PowerBI. Ideal for HR analytics and workforce management.
karanbhatt99
Config files for my GitHub profile.
MosaicCompositionGA
A machine learning project for Mosaic Art reconstruction using a Genetic Algorithm approach. This approach is similar to solving a jigsaw puzzle.
Sales_data_analysis
This repository contains a comprehensive project that integrates visual analytics and machine learning to enhance retail business insights. It includes Power BI dashboards for product analysis and retailer performance, as well as Python implementations for customer churn prediction and price optimization.
karanbhatt99's Repositories
karanbhatt99/MosaicCompositionGA
A machine learning project for Mosaic Art reconstruction using a Genetic Algorithm approach. This approach is similar to solving a jigsaw puzzle.
karanbhatt99/Cab-Booking-Service
karanbhatt99/Football-Players-Analysis-in-R
This project aims to analyze the overall performance of football players using FIFA football player dataset.
karanbhatt99/HR-Analysis-In-PowerBI
Exploring the Employee Attendance Dashboard for April to June 2022. It offers insights on presence, WFH, and sick leave percentages, plus trends, using PowerBI. Ideal for HR analytics and workforce management.
karanbhatt99/karanbhatt99
Config files for my GitHub profile.
karanbhatt99/Sales_data_analysis
This repository contains a comprehensive project that integrates visual analytics and machine learning to enhance retail business insights. It includes Power BI dashboards for product analysis and retailer performance, as well as Python implementations for customer churn prediction and price optimization.