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Course Works

Algorithms and Data Structures

School: Princeton University
Professor: Robert Sedgewick and Kevin Wayne
Textbook: Algorithms 4th edition
Java Programs in the textbook
Algorithm codes in the textbook
How I apply Algorithms at work:
1. Web Scrapping:
  - Effectively download and parse publicly available data such as Community Forum RSS feeds, Verizon reviews, Amazon reviews, Google Playstore reviews, Tweets etc.

School: The University of North Carolina at Chapel Hill
Professor: Lorraine Alexander and Karin Yeatts
Book:
1. Epidemiology: Study Design and Data Analysis
2. Design of Observational Studies
Focus:
- Quasi-Experimental Study Design
- Effectively managing confounding risks
- Causal Inference with a lack the element of random assignment to treatment or control
How I apply Epidemiological study at work:
1. Internet of Things (IoT):
  - Identifying risk factors for consumer returns: remorse return and warranty return.
  - Quantifying the strength of association between stability crashes, battery, camera, network connectivity, etc and consumer returns (unstickiness) as well as consumer retentions (stickiness).
  - Especially attractive when finding and understanding events that negatively impact on consumer since it's. morally unacceptable to purposely impose a negative service to consumer for experimentation purposes.
  - E.g. Smartphone, Wearable, Smarthome, Driverless cars, etc.

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