Dong Wang
Data Scientist
Machine learning, predictive analytics, dashborading
Handle data covering its full cycles
ETL pipeline, survey design, predictive modelling,
geospatial analysis, visualization, auto-reporting
Skills
R
- Shiny
- data.table
- purrr
- dplyr
- rMarkdown
- ggplot2
- SQL in R
Python
- pandas
- scikit-learn
- matplotlib
- bokeh
- statsmodels
- web scraping survey monkey
A.I.
- neural netwoks
- SVM
- bagging
- bootstrapping
- XGBoost
- classification
- keras
Stats Prob.
- gam glm
- PCA
- sampling
- time series
- hypothesis test
- mixed model
Web & Database
- plotly.js
- leaflet.js
- npm
- css: grid, flex
- MySQL
Present analytic findings with easily digestible pieces for both lay and professional audience
Experience
DOC, New Zealand
Statistician/Data Scientist
2017 -
Sensitivity Analyses on complex system
Web Scraping using Python on Survey Monkey
- Automate data extraction, using SurveyMonkey API in Python, building data pipelines
Shiny dashborad: Extract, aggregate and visualize data from database
Business report generating
Use R and PowerBI to manage data in Azure SQL Database
NIWA, New Zealand
Predictive Modeller
2012 - 2017
Geospatial modelling with A.I.
Lincoln University, New Zealand
Modeller
2009 - 2012
Individual based modelling
City University of Hong Kong
A.I. Modeller
2006 - 2008
Education
City University of Hong Kong
PH.D
2002 - 2007
Develop and apply new machine learning models in air pollution study
Interests
