Energy Insights — a building energy use & forecasting app

The Problem

I wanted to demonstrate my ability to build interactive data tools, like an R Shiny app, that let users descriptively explore data, make predictions, and test the impacts of different scenarios.

Approach

Interactive R Shiny app.

Skills

• Simulate real-world variability to showcase my ability to reason through complex scenarios.

• Build an intuitive, useful app that mixes appealing, modern design with insightful data analytics.

• Deploy time-series forecasting and scenario planning tools that display my ability to integrate user inputs into time-series forecasting, unlocking dynamic 'what-if' scenarios in a complex, multivariate context.

Tools

• R Studio

• R Shiny

Examples / project teasers

Results

The data may be made up, but the skills the app demonstrates are real and can be applied to a variety of domains facing similar hurdles with understanding, forecasting, and communicating their data.