I am currently working in Montreal, Canada as a senior data scientist at www.riotinto.com. I am enjoying very much programming in R, python for analytics and Apache Spark. Never stop looking into new technology like docker, mesos, Elastic Search and some fun stuff like Raspberry Pi or Arduino.
I also do technical review for Synced Review (机器之心):
- Customer Lifetime Value Prediction Using Embeddings
- Tree Boosting With XGBoost – Why Does XGBoost Win “Every” Machine Learning Competition?
Rio Tinto 2018 - presentIndustrial Data Science, working with RTX, RTA, RTFT, RTB on diversified projects by leveraging the power of data: from exploration (remote sensing) to mining operation, from stockpile to asset reliability and safty.
SSENSE 2016 - 2018Data Scientist who tackles the problem for fashion E-Commerce company in various domains, such as customer insights, machiandise sizing, markdown sales, product recommendation.
Synced Review 2017 - presentTechnical reviewer for Industry Trends with Tech Perspective.
Groupe OnePoint 2015 - 2016Big Data Things with cutting-edge technologies: Spark, Zeppelin, NiFi, Streaming
EY Advanced Analytics 2013 - 2015Multi-industries experiences with data modelling, from telecom to cosmetic, from utilities to finance.
Generali Insurance 2011 - 2012Statistical Analyst as Intern
University Paris 1 2007 - 2012Major in Econometrics / Business Analytics, with 1 year exchange program to National Chengchi University, Taiwan.
**CV** update @Feb 28, 2018