An interactive Retail Sales Performance Dashboard built using Microsoft Excel, featuring KPIs, Pivot Tables, Pivot Charts, XLOOKUP, and Slicers for business insights.
The HR Employee Attrition dataset contains employee information used to analyze why employees leave a company. It includes details such as age, department, salary, job role, overtime, job satisfaction, and work-life balance. The dataset helps organizations understand employee behavior, improve retention strategies, and make better HR decisions.
Financial fraud detection using Python and Machine Learning with EDA, SMOTE, feature engineering, and classification model evaluation.
End-to-End Amazon Sales Analysis using Python, Pandas, NumPy, Matplotlib, and Seaborn with EDA, business insights, and data visualizations.
Data analysis comparing Adidas and Nike products based on price, ratings, discounts and customer engagement.
End-to-end data analysis project using SQL & Power BI, covering sales performance, customer insights, and inventory risk analysis.
Restaurant Data Analysis using Python | Data Cleaning, EDA & Business Insights
This project analyzes customer reviews from Amazon to uncover patterns in customer satisfaction, sentiment trends, and behavioral insights over time. The goal is to transform raw textual data into meaningful business insights that can support decision-making and improve customer experience.
Machine Learning project to classify and predict Tesla stock risk categories using KNN, Decision Tree, SVM and Random Forest.
Sales, profitability and inventory analysis using Pandas and Power BI.
SQL analysis of the Global Superstore Sales dataset using SQLite to answer business questions and extract actionable insights.
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