I am a Data Scientist with 10+ years of experience. I have worked with companies in industries including Loyalty Programme, Banking & Insurance, and Logistics. I build products and tools around data.
Work Experience
Apr 2023 – Current
Lead Data Scientist
Kantar Worldpanel, London, United Kingdom
- Led a team of data scientists and partnered with stakeholders across regions to evaluate our analytical product portfolio of 15+ products. Revamped old products written in SAS to new version in R, which reduced over 50% of the time required to run.
- Designed the methodology of our latest Thought Leadership article on customer brand switching. The work was presented to over 200 business leaders worldwide in our webinar session and built several new business opportunities in the pipeline
Sep 2021 – Apr 2023
Data Science Associate Manager
Accenture, Hong Kong
- Led the Data Strategy and Marketing Science consulting practice. I led multiple data science projects and business development opportunities for insurance companies, property developers, and banks.
May 2020 – Sep 2021
Data Science Manager
Cigna International, Hong Kong
- Managed the customer product usage cycle by building use cases to drive acquisition and customer retention.
- Retained more than 87% of the high-value customers who predicted to churn in 6 months by developing a churn model with their insurance claim data.
- Developed acquisition model to improve leads quality by using Google Analytics data and offline CRM data from Salesforce, models are built to predict the likelihood of conversion of a lead.
Aug 2018 – May 2020
Data Scientist
Asia Miles, Hong Kong
- Developed predictive model to drive member acquisition and engagement of more than 11M members worldwide.
- Improved the customer acquisition efficiency of our co-brand credit card by more than 50% by building a predictive model on registration propensity using Google Analytics Data from the website and app, as well as internal usage data.
- Managed our customer retention by using CLV and predictive CLV to identify high risk customers who might churn.
- Collaborated with the Marketing Team to run A/B testing on various versions of emails to improve engagement in our activities. The churn rate of the programme is maintained at a low level.