Degree

Master of Science in Data Science

Department

Department of Computer Science

Faculty/ School

School of Mathematics and Computer Science (SMCS)

Date of Submission

Spring 2025

Supervisor

Mr. Saiyed Shahab Ahmed, Visiting Faculty, Department of Computer Science

Keywords

AI-powered analytics, E-commerce decision-making, Unified data pipeline, Automated profiling, Conversational analytics

Abstract

Data Genie Pro is an AI-powered analytics platform designed to simplify and accelerate decision making for e-commerce businesses. It integrates data from CSV, SQL, MongoDB, and APIs through a unified pipeline with intelligent schema mapping and automated profiling. The platform delivers context-aware dashboards featuring executive KPIs, sales trends, and customer segmentation. A natural language interface enables conversational analytics that understands and responds to user queries in everyday language. Validated across real-world datasets from retail, B2B, and global e-commerce domains, Data Genie Pro demonstrates efficient load performance, seamless scalability, and significant reductions in manual data preparation time. Built on a modular, layered architecture and rigorously tested for both functional and non-functional reliability, the platform empowers organizations to convert raw data into meaningful insights with minimal technical effort

Document Type

Restricted Access

Submission Type

Research Project

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