Data Insights Workspace Case Study

Case Study - AI Analytics Interface

Data Insights Workspace

A user-friendly control layer for a powerful AI analytics backend.

This project focused on turning an advanced client-provided Python analytics engine into a practical web and desktop experience. My work covered the user interface, route structure, API integration, dataset flows, and result presentation so non-technical users could move from upload to useful evidence without managing backend complexity.

At a glance

Dataset upload and onboarding
Guided analysis workspaces
API-connected AI workflows
Desktop-ready product shell

AI data workspace launch screen — Workspace overview

Inside the product

Upload and session start

A clean entry flow for uploading spreadsheet datasets, trying sample data, and starting an analysis workspace.

Human-readable dataset setup

Editable context screens help users verify field meanings, business purpose, entities, and constraints before analysis begins.

Decision-oriented launch view

A command-center layout turns complex backend capabilities into clear recommended actions and decision paths.

Configurable analysis setup

Focused controls let users choose target fields and analysis lenses without needing to understand backend internals.

Saved prompts and follow-ups

A conversational workspace connects saved prompts, prior questions, and dataset-aware follow-up requests.

Evidence in usable form

Backend output is presented as readable summaries, ranked groups, distributions, and expandable raw details.

How the workflow feels

A complex analytics process is reduced to clear product steps.

Upload Dataset

Review Context

Choose Analysis

Read Results

Built with

ReactTypeScriptViteTailwind CSSREST APIsElectron

My contribution

Product UI

Designed and built the user-facing workspace that makes advanced analysis workflows approachable.

Routing and Flows

Structured the app into launch, discovery, ask, compute, and results paths for repeatable navigation.

API Integration

Connected the interface to the client-provided analytics backend through practical request and session flows.

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