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.

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.

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

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

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

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

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.

Customer Purchasing Behavior Analysis and Sales Prediction

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

This project utilizes machine learning to analyze and segment e-commerce customer behavior. It predicts purchases and clusters customers based on demographic data and product preferences, aiming to optimize marketing strategies and enhance customer satisfaction.

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.

An interactive interface for performing CRUD operations (Create, Read, Update, Delete) on a MySQL database related to Zomato data.

Pizza Sales Analytics is an interactive Power BI dashboard that analyzes pizza orders and sales trends. It identifies peak ordering times, most popular pizzas, top-selling categories, and total revenue, helping businesses make data-driven decisions and optimize operations.

SQL-based analysis of customer churn in an e-commerce platform, uncovering key behavioral patterns and insights for business decision-making.

The "Store Sales Database" project analyzes 100K sales entries, leveraging Python, SQL, and Power BI to manage, analyze, and visualize store performance. It provides insights into sales trends, regional performance, and customer behavior through real-time analytics, detailed reporting, and dynamic dashboards to support data-driven decisions.