Enabled Autonomy
Accessibility Technology for Watching Videos
Featuring:
Automated Browsing Experience
Simple Touch for Selection
Responsive Visual & Audio Feedback
Auto Screen Off if Unused
Disabled System Menu and Display
Cloud Synced Videos (No Download Delays)
Accessibility Technology
Systems Engineering
Data Mining
Forecasting
An accessibility-focused video player. This app enables autonomy for individuals with cognitive impairment to browse and enjoy videos independently using a tablet.
Forecast Weeks N=40 | Running Avg | % Diff | 3-Week Avg | % Diff | 2024-12-08 Last Week | 2024-12-15 Current Week | |
---|---|---|---|---|---|---|---|
Weekly Usage Hours | SD: 8.72 | 15.8 | .17 | 18.5 | .17 | 21.7 | |
Baseline Forecasts | RMSE: 10.8 | 20.3 | -.01 | 20.2 | .16 | 23.3 | 21.0 |
Enhanced Forecasts | RMSE: 8.87 | 16.0 | .26 | 20.2 | -.11 | 17.9 | 27.2 |
Search term trends (e.g., from trends.google.com) can gauge levels of interest from the general population. These signals are useful across many domains, such as understanding demand for various products or activities.
Forecast Weeks N=58 | Running Avg | % Diff | 3-Week Avg | % Diff | 2024-12-08 Last Week | 2024-12-15 Current Week | |
---|---|---|---|---|---|---|---|
Search Keyword 'outdoor' | SD: 13.1 | 62.8 | .14 | 71.7 | -.15 | 61.0 | |
Baseline Forecasts | RMSE: 5.36 | 61.3 | .01 | 61.9 | -.01 | 61.0 | 56.7 |
Enhanced Forecasts | RMSE: |
Many behaviors fluctuate in response to weather changes and seasonal trends. As a bonus, expert weather forecasts are readily available for usage or benchmarking forecasting methods.
Forecast Weeks N=57 | Running Avg | % Diff | 3-Week Avg | % Diff | 2024-12-08 Last Week | 2024-12-15 Current Week | |
---|---|---|---|---|---|---|---|
Local Max Temp (F) | SD: 17.0 | 69.8 | -.27 | 51.1 | .04 | 53.1 | |
Baseline Forecasts | RMSE: 8.88 | 69.6 | -.19 | 56.7 | -.19 | 45.9 | 46.5 |
Enhanced Forecasts | RMSE: |
You are here. This web app is designed to showcase the evolution of recommendation-focused data projects, supporting insights with refreshed data, ongoing forecasts, and documented progress. [Code Repo]
Forecast Weeks N= | Running Avg | % Diff | 3-Week Avg | % Diff | Last Week | Current Week | |
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SD: | |||||||
Baseline Forecasts | RMSE: | ||||||
Enhanced Forecasts | RMSE: |
This backend system provides ongoing data integration and machine learning model management, supporting this web app with curated data for visualizations and data-driven recommendations.
Forecast Weeks N= | Running Avg | % Diff | 3-Week Avg | % Diff | Last Week | Current Week | |
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SD: | |||||||
Baseline Forecasts | RMSE: | ||||||
Enhanced Forecasts | RMSE: |
Leveraging a weekly forecasting framework, this project provides predictions for upcoming stock values and buy/sell recommendations.
Forecast Weeks N=58 | Running Avg | % Diff | 3-Week Avg | % Diff | 2024-12-08 Last Week | 2024-12-15 Current Week | |
---|---|---|---|---|---|---|---|
S&P500 Closing Price | SD: 44.9 | 517.2 | .16 | 602.0 | .00 | 604.2 | |
Baseline Forecasts | RMSE: 13.1 | 510.3 | .17 | 594.8 | .01 | 600.2 | 604.8 |
Enhanced Forecasts | RMSE: |
Dynamic Dashboard Pages
Links to Dashboards from Project Cards
Correcting Sunday Week Start
Accounting for Time Zone Shifts
Blob Storage for Dashboard Data
Serve Curated Data Files Across Projects
Scheduled Data Processing
Automation for Weekly Processing
v1 Baseline & Enhanced Modeling
Google Trends Data Helps Predict Usage
Baseline Weather Forecasts
Weekly Forecasts Using Prior Signal Data
Following Closing Price Values
Outline Scope and Success Markers
Featured Weekly Plot (plotly.js)
Wider View of Featured Data
V1 Weather Signals (Local)
Source Data and Processing
Novel and Sparse Time-Series Features
Feature Engineering Time and Domain Data
GPU and Parallel Compute (CUDA image)
Reconfiguring Backend System for CUDA
Featured Data SVG Component
Time Series Lines and 'Last Week' Points
Keywords for Predicting Video Watching
Air Conditioner, Indoor, Outdoor, Showtimes
Web Search Trends for Prediction
Methodology from Preis, Moat, and Stanley (2013)
v2 Video App for Cognitively Impaired
Quality of Life Changes
v1 Video App for Cognitively Impaired
Early Testing and Observation
v1 Video App for Cognitively Impaired
Data Fetching and Processing
v1 Data Warehouse
Fetch and Processing System
Data Warehouse Development
Outline Scope and Success Markers
v1 Video App for Cognitively Impaired
Data Processing -- Usage Hours
v1 Video App for Cognitively Impaired
Backend Service for Data Processing
v1 Projects Web App
Project and Progress Components
v1 Projects Web App
Development Page Layout
Tracking US Metro Location Housing Values
Foundational Data
v1 Projects Web App
Outline Scope and Success Markers
v1 Video App for Cognitively Impaired
Touch Tablet Selection, Passive Browsing
v1 Video App for Cognitively Impaired
Outline Scope and Success Markers
Hi, welcome.This website provides weekly reporting for the Enabled Autonomy Video Player tablet and other data signals. The main goal is to support evidence-based improvements for the app and other projects by monitoring and forecasting key measurments.I created the Enabled Autonomy Video Player app for my cousin, Bill (cognitively impaired), to provide him a video browsing and viewing experience he can engage with independently.
Data Scientist
2021 - 2024
Standardized data pipelines for order, customer, and store-level measurement, supporting business-wide analytics (marketing promotions, test items, operational changes).
Created customer segmentation methodology based on retention/churn modeling, improving ad spend efficiency.
Led development for item-specific demand predictions served throughout the day to store operators at each domestic and international location.
Data Scientist
2019
Designed a data pipeline and Bayesian regression model optimizing channel-by-funnel ad spending.
Developed a dashboard visualizing ad-spend response curves for channel-by-funnel targets.
Reviewed existing advertising testing methods, including geospatial A/B testing.
Postdoctoral Researcher and Course Instructor
2014 - 2018
Employed data science methods for memory-based decision-making research.
Designed novel computer-based experiments and evaluated models with behavioral data.
Secured a 2-year postdoctoral fellowship from the Swiss National Science Foundation.
Ph.D. in Cognitive and Brain Sciences
State University of New York at Binghamton
B.S. (Summa cum laude) in Psychology
Eastern Michigan University