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Data Science Presentations

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1. Credit One_Zumel:

Business Data Analysis Proposal for Analyzing and Predicting Customer Credit Card default using Zumel and Mount's R Framework for Data Analysis

2. Maximizing Revenue through Customer Insights:

Stakeholder presentation translating key insights on Electronic Company's customer demographics, purchasing behaviors, and opportunities for maximizing sales and revenue growth

3. Predicting Indoor Location using Wifi Fingerprinting

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

4. Visualizing and Forecasting Residential Energy Data:

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.

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