Interactive Power BI dashboard analyzing credit card transactions to uncover spending patterns, customer insights, and key financial KPIs for data-driven decision-making.

Sample e-commerce dataset for business analysis, organized across six interconnected tables (Customers, Category, Products, Orders, Order_Items, Payments), designed to simulate realistic transactional workflows and support hands-on practice in Excel, MySQL, and Power BI for querying, data modeling, analysis, and generating actionable insights.

Analyzed 10,000+ café transactions to uncover revenue drivers, customer behavior, and growth opportunities — with actionable recommendations to increase AOV, retention, and seasonal performance.

End-to-end retail sales data analysis using Python, Pandas to uncover profit drivers, loss-making areas, and customer trends.

This repository demonstrates an end-to-end CTR time-series forecasting pipeline using SARIMA model. It analyzes daily advertising performance to uncover trend, weekly seasonality, and engagement patterns, and delivers 30-day forecasts to support budgeting, pacing, and marketing decision-making.

SQL-based portfolio risk analysis on 22k+ insurance records identifying loss ratios, revenue concentration, and farm-level profitability.

Developed an interactive Sales Performance Dashboard using Excel and Power BI to analyze key metrics such as sales, profit, and customer segments. Implemented time-based, regional, and category-level analysis with dynamic visualizations to identify trends and support data-driven decision-making.

A complete Power BI Student Result Analysis Dashboard with toppers, KPIs, subject insights, mark ranges, and data modeling using Excel, Power Query & DAX.

An interactive sales dashboard developed using Power BI / Tableau to analyze key business metrics, identify trends, and support data-driven decision-making.

Power BI dashboard analyzing Plant Co.’s Sales, Quantity & Gross Profit with YTD vs PYTD insights.

End-to-end data analytics project using Python, SQL, PostgreSQL, and Tableau. Includes full pipeline (RAW → STAGING → DIM/FACT) and two interactive dashboards.

Interactive healthcare analytics dashboard built in Excel analyzing respiratory disease trends, treatment patterns, recovery outcomes, and state-wise variation using Pivot Tables, slicers, and KPI cards.

A Chocolates Sales Dashboard built entirely using Python, focusing on data analysis and visual storytelling.

Excel dashboard analyzing road accident patterns, casualty severity, road conditions, and environmental factors using pivot tables and slicers.

end-to-end data analytics project for restaurant & business insights

Excel + SQL Dashboard for Customer Revenue Analysis with interactive KPIs, trends, and business insights

This dataset contains detailed coffee sales transactions across multiple store locations, including product details, quantities, prices, revenues, and timestamps. It enables comprehensive analysis of sales patterns, customer preferences, peak hours, and regional performance to support data-driven business decisions.

Customer purchase behavior analysis and segmentation using R, clustering techniques, and distribution analysis.

Time-series forecasting of U.S. temperature trends (2000–2023) using ARIMA and ETS, with projections through 2029 and regression analysis of environmental indicators.

Cybersecurity Threat Intelligence Dashboard built in Power BI to analyze attacks, vulnerabilities, and investigation insights using interactive visuals.