A fully interactive data storytelling dashboard for e-commerce analytics. Built with Python, Streamlit, and Plotly, it transforms transactional data into actionable insights through KPIs, cohort retention, RFM segmentation, and global visualizations, perfect for analysts and data scientists.

This project aims to analyze e-commerce data to derive meaningful insights about customer behavior, sales trends, and product performance. We utilize Python, MySQL, and various data visualization libraries to perform the analysis.

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

End-to-end Customer Lifetime Value (CLV) Prediction & Retention Analytics System built with Python, XGBoost, and Streamlit — includes RFM segmentation, cohort analysis, persona insights, model monitoring, drift detection, logs analytics, and automated executive summary reporting.

Samsung AI Semi-Project

🧠 A Streamlit web app that predicts Amazon sales amounts using a Multilayer Perceptron (MLP) model. Features real-time input, cleaned data, and a trained MLPRegressor with encoding and scaling pipelines.

Q2 sales and customer behaviour analysis identifying £70k-£95k annual revenue opportunities through delivery optimisation and discount strategy refinement.

🛍️ Analyze retail data with our platform, scraping insights from major retailers, processing with ETL, and delivering interactive analytics via Streamlit.

Analysis of an E-Commerce customer database that lists purchases made by over 4000 customers over a period of one year, developed a model that allows to anticipate the purchases that will be made by a new customer, during the following year, from its first purchase.

End-to-end CRM analytics using cleaned eCommerce datasets to identify retention drivers, analyze funnels, and predict repurchase. Includes automated Python pipelines, logistic and linear modeling, and interactive Power BI dashboards for actionable business insights.

AI agent for answering SQL-based questions using LLaMA and FastAPI

📊 Analyze Amazon sales data with an interactive Power BI dashboard to uncover insights on performance, trends, and product effectiveness.

Web scraping and analysis of sneaker listings from Amazon.sg to uncover pricing, brand strategy, and customer rating insights.

Monthly customer analysis of the TheLook eCommerce dataset (BigQuery + Looker Studio)

Etsy seller data extraction tool

This repository contains a Power BI dashboard project focused on Amazon Sales Analytics. It provides insights into: Total sales and profit trends, Product category performance , Regional sales analysis, Customer segment insights .

Blenders Eyewear product pricing

Cleaned and visualized 20K+ messy sales records for gaming products, building interactive dashboards in Tableau to reveal insights by product, region, and channel.

Allegro reviews extraction tool

A comprehensive, interactive Power BI dashboard for analyzing online store performance across sales, customers, categories, and regions.