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Data Visualization & Deployment

Interactive Data App

PythonStreamlitPlotlyData VisualizationDeploymentDashboards

Overview

A data application that turns a static dataset into a live, interactive experience — allowing any user to filter, explore, and visualize data through a browser without writing code. Deployed on Streamlit Cloud.

The Challenge

The gap between a data analysis and a deliverable a client can actually use is enormous. Most analyses live in notebooks only the analyst can run. The challenge is closing that gap without introducing engineering complexity.

The Solution

Built a Streamlit application with dynamic filtering (dropdowns, sliders, multi-select), multiple visualization layers (bar charts, scatter plots, time series), and a clean responsive layout. Stateless and deployable to Streamlit Cloud in one command — making sharing trivial.

Results & Impact

A publicly accessible data application available via URL — the most impressive artifact in a portfolio for non-technical clients. Demonstrates the ability to go from raw data to a polished, shareable product.

Tech Stack

PythonStreamlitPlotlyData VisualizationDeploymentDashboards
GitHub — Coming Soon