Table of Contents
Business Data Analysis Proposal for Analyzing and Predicting Customer Credit Card default using Zumel and Mount's R Framework for Data Analysis
Stakeholder presentation translating key insights on Electronic Company's customer demographics, purchasing behaviors, and opportunities for maximizing sales and revenue growth
A client is developing a system to help people navigate a complex, unfamiliar interior space on a college campus. They would like us to investigate the feasibility of using wifi-fingerprinting to determine a person’s indoor location. If a model meets or exceeds minimum specifications, it will be incorporated into a smart phone app for indoor locationing on a college campus.
- Internal data science presentation for model recommendation
- Highly multi-class classification problem involving resample comparisons with confusion matrix
Stakeholder presentation unlocking key insights on energy consumption patterns residential home by sub-meter for Law Firm collecting several evidentiary proof points for client. Insights provided through time-series high-level and precise-level visualizations, as well as seasonal (linear regression) and non-seasonal (Holt-Winters) forecasting of future energy use.