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

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

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

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.

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

Customer journey analysis with PM4PY in Python.

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.

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

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

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 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

Estatística aplicada à análise de dados de clientes e planos da operadora Megaline. Projeto prático com Python, visualização e insights para suporte à decisão em telecom.

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

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