Customer Churn Analysis in Banking with Power BI

This project tackles the challenge of customer churn in the banking industry. It utilizes Power BI to analyze customer data and uncover hidden patterns that contribute to customers leaving the bank. The resulting insights equip banks with valuable info to develop data-driven retention strategies.

Sales and Customer Insights Dashboard (CPG Industry)

This Power BI dashboard provides insights into sales performance, product popularity, and customer demographics for Maven Market, a retail store chain. The dashboard is based on data from 1997 and 1998, and includes information on transactions, customers, products, stores, and returns.

HR Data Analytics

The HR Data Analysis Dashboard, powered by Power BI, provides a comprehensive view of employee attendance, sick leave (SL), and work from home (WFH) trends over time. This interactive tool is designed to help HR professionals and managers monitor workforce engagement and availability.

End to End Real Estate Data Analysis Otodom Database

Demonstrated proficiency in web scraping, ETL process orchestration, and strategic SQL-based reporting using snowflake and python, resulting in valuable market insights for informed decision-making in the real estate sector.

Domestic Violence Against Women and Girls (Exploratory Data Analysis)

Conducted data analysis & estimated descriptive statistics to understand and illustrate how the average percentage of violence against women in developing nations correlates to countries with either a poor or stable economy. Performed data cleaning using python and data visualizations using python.

Data Jobs Exploratory Data Analysis

This project was undertaken as part of the CS 320 - Data Science Programming course during the second semester of the MS in Information program.

T20 Cricket World Cup (2022) Data Analysis

Produced insights on a best 11 player team based on the Cricket World Cup 2022 by creating an interactive dashboard with PowerBI. Developed measures like batting average, strike rate, and bowling economy by performing data transformation and modeling using Pandas, Power Query, and DAX.

Covid 19 Exploratory Data Analysis using SQL and Tableau

Performed comprehensive data cleansing and SQL analysis on COVID deaths and vaccination data, creating SQL queries to calculate death likelihood, infection rates, and vaccination coverage while designing visual dashboards for global COVID statistics.