Chaoran Liu
Working Experience

Senior Data Scientist
Munich Re (Group) | 📍Singapore
Jul 2019 - Present
- Streamlined underwriting
- Detection of BMI misrepresentation from Face
- Paper document OCR
- Reinforcement Learning for requirement optimization
- Explainable machine learning / AI
- Model deployment

Data Scientist
NTUC Link | 📍Singapore
Aug 2017 - Jul 2019
- Designed the customer 360View data mart, which is used by entire data science team for modeling and reporting.
- Drove marketing decisions through customer segmentation, churn prediction and look-alike audience.
- Developed the channel propensity model to improve email campaign open rate by more than 10%.
- Built the category recommendation engine for personalized thematic campaigns using Factorization Machines.
- Set up the team’s analytical tools, including R/Shiny server, Jupyter Notebook, Airflow, Superset & Pyspark on AWS.
- Built multiple dashboards to track customer engagement, campaign performance and merchant benchmarking.

eCommerce Data Scientist
Coupang | 📍Shanghai, China
Jul 2016 – Jun 2017
- Re-ranked product search results using a pair-wise learning-to-rank model and improved ranking metric by 8%.
- Led product review ranking project and achieved 1.2% ranking metric improvement in online A/B test.
- Built Oozie-Hive workflows to automate multi-dimensional feature generation for user behavior profiling.
- Contributed a community detection model to credit score project by identifying suspicious reviews/reviewers.

Data Analyst
Aon Center of Innovations and Analytics | 📍Singapore
Sep 2015 – Jun 2016
- Led local market planning project by identifying cross-sell opportunities using collaborative filtering model.
- Built a healthcare expense estimator for US market to recommend suitable policy packages for customers.
- Text mined insurance claim records to identify cross-market opportunities for new product launch.
- Developed a propensity model for client acquisition, by crawling public financial attributes from Internet.

Freelance Data Analyst
Crowdo | 📍Singapore
Aug 2015 – Sep 2015
- Performed K-Means clustering analysis to segmentate the customers based on their repaying behavior.
- Developed a credit score model to assess the risk level of potential customers using Random Forest algorithm.

Process Engineer
Micron | 📍Singapore
Sep 2011 – Dec 2014
- Improved multiple operation processes using DOE (design of experiment), hypothesis testing and ANOVA.
- Automated data ETL and report generation, to monitor yield trend and workstation productivity.
- Designed advanced statistical process control methodologies for manufacturing quality assurance.
Education

National University of Singapore
M.Sc. Industrial and Systems Engineering | 📍Singapore
Jan 2014 – Jul 2015

Nanyang Technological University
B.Eng. Chemical and Biomolecular Engineering | 📍Singapore
Aug 2007 - Jul 2011
Certificates & Awards
Certificate | Institute | Date |
---|---|---|
Deep Learning Specialization (5 courses) | Coursera | Apr 2017 |
Mining of Massive Datasets | Stanford Online | Jul 2016 – Sep 2016 |
Data Science and Engineering with Spark Specialization (3 courses) | edX Berkeley | Jul 2015 |
Data Science Specialization ( 9 courses + 1 capstone project ) | Coursera | Mar 2015 – Dec 2015 |
Machine Learning Statement of Accomplishment | Stanford Online | Jul 2011 |
P.R.C. Scholarship | Singapore Ministry of Education | Sep 2017 – Feb 2018 |
Relevant Skills
Category | Skills |
---|---|
Data ETL | SQL(Hive/Presto/Impala/Netezza/Redshift), Spark, Airflow, MLflow |
Modelling | R, Python, Keras, LightGBM/XGBoost, scikit-learn, H2O |
Visualization | Tableau, Shiny, ggplot2, Vue.js, HTML, CSS, JavaScript |
Deployment | Docker, API wrapping (FastAPI / Plumber) |