Create a hierarchy for decisions, not just data
The experience brings high-level KPIs forward first, then lets people narrow the picture with filters and move into charts and anomaly signals when a number needs explanation.
Case study / Live
Analytics Dashboard
from idea to system.
An exploratory retail analytics and data-visualization project.
The brief
An exploratory retail analytics product that turns a large dataset into a dashboard for scanning performance, filtering the view, and investigating change over time.
The challenge
Retail data can be comprehensive without being immediately useful. The challenge was to make patterns, anomalies, and a near-term forecast legible without overwhelming the person using the dashboard.
What shaped the build
Key decisions.
Design reusable states around exploration
The React interface is structured as reusable dashboard, filter, and KPI components so the product can support different questions without becoming a collection of one-off screens.
Connect the visual layer to a practical data service
An Express API and MongoDB-backed retail dataset support the dashboard, while forecasting views add a forward-looking 30-day revenue perspective alongside historical performance.
The outcome
The result is a deployed product experiment that pairs data visualization with interface judgment—making a complex retail dataset easier to explore, explain, and act on.
RoleExploratory product design & development
StackReact · TypeScript · Python · Express · MongoDB · Machine Learning
Selected work