sleep data

1. STEEPING INSIGHTS FROM
SLEEP DATA
Consulting project
Raisa Karasik

2. Sleep disruption
 Product=device + phone app
 Company: what can improve the performance of
their product?

3. Data
 PostgreSQL, 7 tables, over 30K of rows
 Users report
 Prior history
 Ongoing child’s sleep schedule
 App
 Device

4. How many active users?

5. Analysis
 Data separation  Feature Importance

6. Demo
How do I know if sleep intervention works?
http://sleep-insights.info/user?cid=161

7. Recommendations
 Collect more features
 Survey users who stopped using the product right
away
 Expand prior history to include potential predictors
 E.g., How long does you child have this disruption?
 Keep track of defaults apart from user entered data
 Educate long term users about sleep disruption
mechanism and intervention plan
 Importance of using product on regular basis and on
schedule
 Like antibiotic, use long after 1st improvement is seen

8. About me
Raisa Karasik
PhD in Quantum Physics, UC Berkeley
Post-doc, Griffith University, Australia
QuantumComputing
Defense

9. Demo slides 1

10. Demo slides 2