You gain wisdom only when you look back, so think regressively more!

Recent Posts

Google BigQuery and Azure Cloud are both powerful platforms to store data. Google BigQuery can process a couple TB of data within a couple minutes and you pay when you query, store and process. The detailed pricing is here.Azure SQL data base provides fast and convienient data for the first 32 GB/month at ~$5/month. The detailed pricing is here.Normally business intelligence analysts, database managers or data scientists access the two platforms from the two consoles separately.


Recently, I’ve been playing with the deep learning python package ‘tensorflow’. I ran a simple linear regression model and had some success. Tensorflow is great with unstructured data and image recognization problem. Therefore, it usually runs better in a GPU supported computer. However, given my model is rather simple and won’t need to rely on too much image processing power like GPU. I did it on my windows 7 professional/10 machine and it predicted some values for me.


If you have viewed my bio, you probably noticed that I don’t have a science or engineering background, so how come I end up with data scientist? Well, it turns out that you don’t need a science or engineering background to become a data scientist! Here’s my personal trajectory. I think it’s highly reproducible:) In Sep 2014, I was hired as a marketing research analyst by AccuWeather to work on AW’s new adventure: IoT or we call it emerging platform projects.



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I am a teaching assistant for the following courses at Penn State University:

SRA468:Spatial Analysis of Risk-Fall 2018:

  • Time: Tue&Thr 3:05-4:20pm EST
  • Office Hour: Wed 1:30-2:30pm EST

DS220:Data Management-Data Science-Spring 2019:

  • Time: Mon&Wed 6-7:30pm EST
  • Office Hour: Tue 3-5pm EST

Selected Publications

Recent Publications

Recent & Upcoming Talks

2018 CSSA Grad School Application Seminar
Oct 25, 2018 6:00 PM
2018 SIA Career Panel
Oct 19, 2018 1:00 PM
2016 SIA Career Panel
Aug 26, 2016 2:00 PM