Github Shinanna Banking Data Analysis Data Analysis Project On Bank

Github Shinanna Banking Data Analysis Data Analysis Project On Bank Data analysis project on bank deposits dataset. contribute to shinanna banking data analysis development by creating an account on github. Data analysis project on bank deposits dataset. contribute to shinanna banking data analysis development by creating an account on github.

Github Shinanna Banking Data Analysis Data Analysis Project On Bank Data analyst, food and data love 👩‍🍳🔢. shinanna has 13 repositories available. follow their code on github. This project focuses on performing end to end data analysis in the banking domain, involving customer behavior, product usage, and engagement insights. the workflow spans from data extraction using mysql, analysis and transformation using python, and dashboard creation using power bi. Analyzing bank data and election data with python. it uses logistic regression and also analyses the steps to be taken to reduce the marketing cost and increase the sales. add a description, image, and links to the bank data topic page so that developers can more easily learn about it. Data analysis to get insights into bank data. contribute to chatgptcoderhere bank data analysis development by creating an account on github.

Github Lokeshloki13 Data Analysis Project Analyzing bank data and election data with python. it uses logistic regression and also analyses the steps to be taken to reduce the marketing cost and increase the sales. add a description, image, and links to the bank data topic page so that developers can more easily learn about it. Data analysis to get insights into bank data. contribute to chatgptcoderhere bank data analysis development by creating an account on github. Generating synthetic banking data (customer profiles, account details, and transactions). exploring customer demographics, account types, balances, and transaction histories. This project presents an in depth analysis of a diverse banking dataset encompassing 3,000 clients. the primary objective is to transform raw transactional and demographic data into actionable business intelligence. It focuses on understanding customer behavior, assessing financial risk, and uncovering patterns in banking product usage to support data driven decision making in financial services. this project presents a comprehensive analysis of customer banking data using sql, python, and power bi. This project analyzes banking transaction data to uncover insights into customer behavior, account activity, and financial performance. using various dashboards, it provides a comprehensive view of debit credit trends, branch wise performance, and account utilization patterns.