About

I am currently a Senior Data Scientist (VP) at EFG International, working on various AI initiatives to transform the bank. Prior to that, I held a similar position at Credit Suisse AG, where I developed AI solutions to key risk and compliance problems such as entity resolution, data mastering and knowledge graphs for AML and transaction monitoring. Before that, I worked at Agoda (a Booking Holdings) company, where I solved the property mapping problem that matches duplicate properties across different suppliers using both structured and unstructured data.

From July 2017 to July 2019, I was a machine learning (ML) developer at SAP SE, where I worked on SAP Cash Application. The product helps enterprise customers automate the complex accounts receivable processes by matching bank statements with open invoices. More details here.

Between January 2013 and May 2017, I did a Ph.D. in Information Systems at the Singapore Management University (SMU) under the supervision of Prof. Hoong Chuin Lau. My Ph.D. dissertation focuses on a general machine learning framework to solve diverse problems in urban environments, such as law enforcement and urban transportation.

During 2014–15, I was a visiting Ph.D. scholar at Heinz College, Carnegie Mellon University (CMU) in Pittsburgh under the supervision of Dean Ramayya Krishnan and Prof. Siyuan Liu. In 2016, I did an summer internship at IBM Research – Singapore, where I worked on a project that predicts people’s dwell time non-intrusively in retail environments using real-time Wi-Fi data.

Check out my lists of publications at DBLP and Google Scholars.

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