Analyse customer segmentation, sentiment on product review, and built a product recommender system

Black Friday Sales Analysis explores customer demographics, purchasing behaviors, and product trends to uncover insights and patterns driving sales during Black Friday events.

Multivariate Time Series Classification for Human Activity Recognition with LSTM

Analyze customer behavior using SQL and Python to extract insights on purchase patterns, sentiment analysis, and marketing effectiveness.

Predicting whether users will click on a promotional email for laptops based on historical user data and browsing logs.

Customer journey analysis with PM4PY in Python.

End-to-end data analytics project using Python, SQL, and Power BI to analyze customer shopping behavior, uncover insights, and visualize trends through an interactive dashboard.

A data analysis project using Python, SQL, and Power BI to study customer purchasing patterns. Python was used for data cleaning and analysis, SQL for querying transactional data, and Power BI for building interactive dashboards to visualize customer segments, sales trends, and product performance.

Helping Trips & Travel.Com reduce marketing costs by predicting which customers are most likely to purchase a holiday package — powered by Random Forest. Click Below Link to see ML Pipeline

This is a customer loyalty analysis based on historical purchase behavior in R language.

Hotel Booking EDA Project -- Exploratory Data Analysis of hotel booking demand data (city & resort hotels) to uncover booking trends, cancellation behavior, customer preferences, and insights for hotel management.

📊 Analyze customer churn, segment behavior, and uncover insights to improve retention for telecom firms using data visualization and advanced analysis techniques.

This repository contains Power BI projects showcasing data analysis and interactive dashboards. Each project includes detailed visualizations and insights on diverse topics such as loan analysis, sales performance, and customer behavior.

Customer behavior analytics project using Python, Pandas, and SQL to analyze purchasing patterns, customer segmentation, and discount impact through real-world business queries.

Customer Behavior Analysis project using Python and SQL to analyze customer demographics, engagement, product reviews, and purchase journeys for valuable business insights.

Building a nearest-neighbor classifier to predict online shopping purchase completions based on user browsing behavior. The project uses a dataset of 12,000 sessions, analyzing features like pages visited, session duration, and bounce rates

This project explores customer behavior and sales trends to help this small restaurant thrive.

Analyzed Cyclistic bike-share data to uncover behavioral differences between casual riders and annual members using SQL, R, Python, and Power BI. Developed an interactive dashboard, performed data validation and exploratory analysis, and generated data-driven recommendations to support membership growth. For Kaggle notebook check:

Predicts customer upgrade likelihood using logistic regression, random forest, and XGBoost. Features NLP techniques and memory optimization.