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Data and AI Professional
Experience in providing solution design/ implementation/ solution pre-sales support/ customer and partner training as well as professional solution consulting services; Act as a major solution consultant to perform technical consultation/ sales support/ technical training on advance data analysis including data sciences/ artificial intelligence solution: with the hands-on solid experiences on machine learning/ deep learning/ business Intelligence/ planning budgeting and OLAP analysis/ data integration/Analytic Customer Relationship Management Solution/ Big Data …etc projects for software/ clouds solution vendor such as Microsoft/ Teradata/ IBM/ SAS...etc; Experiences on pre-sales support and solutions consultant help for the solution selling process, requirement study and deliver the industries/ domain specify solution project; Strong technical and communicating experience of previous working through doing +15 years in IT industry.
Griffith University
Information Technology, Double Major in Artificial Intelligence and Computer Science
N/A – Present
University of Sydney
Information Management
N/A – Present
Stanford University
(Online), Statistics / Computer Science/ Database Study
N/A – Present
University of Melbourne
Online Certificate, Discrete Optimization
N/A – Present
Fuel50
Machine Learning Engineer
January 1, 2023 – Present
Auckland, New Zealand · Hybrid
Microsoft
Senior Data and Applied Scientist (Commerical Software Engineering, Asia Pacific & Japan)
January 1, 2022 – January 1, 2023
Microsoft
Delivery Data Scientist (Data and Artificial Intelligence, Microsoft Services Asia)
January 1, 2017 – January 1, 2022
Microsoft
Solution Architect (Data Insight - Center Of Excellence, MCS, Asia Pacific)
January 1, 2014 – January 1, 2017
Teradata
Senior Business Application Consultant
January 1, 2012 – January 1, 2014
Greater China Area
IBM
Predictive Analysis Solution Architect
January 1, 2008 – January 1, 2012
Hong Kong
SAS
Solution Consultant
January 1, 2006 – January 1, 2008
Hong Kong
Getronics
Business Solution Consultant
January 1, 2003 – January 1, 2006
Hong Kong
Hong Kong Polytechnic University
Technical Engineer (Summer Assistant)
January 1, 2000 – January 1, 2001
Hong Kong
PCCW Teleservices
Technical Enquiry Officer
January 1, 1998 – January 1, 2000
Hong Kong
Microsoft Professional Program in Data Science (10 Required Courses)
Microsoft
June 24, 2026 – Present
SAS Certified Base Programmer for SAS 9
SAS
June 24, 2026 – Present
Designing and Implementing Big Data Analytics Solutions
Microsoft
June 24, 2026 – Present
AMS Marketing Operations Certification
Teradata
June 24, 2026 – Present
Customer Interaction Manager Certification
Teradata
June 24, 2026 – Present
Cognos Planning Product Professional
IBMcognos
June 24, 2026 – Present
Cognos Business Intelligence Administrator
IBMcognos
June 24, 2026 – Present
Cognos Business Intelligence Developer
IBMcognos
June 24, 2026 – Present
Microsoft Certified: Azure AI Engineer Associate
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Azure Data Engineer Associate
Microsoft
June 24, 2026 – Present
Microsoft Professional Program in Artificial Intelligence (10 Required Courses)
Microsoft
June 24, 2026 – Present
Microsoft Professional Program in Big Data (10 Required Courses)
Microsoft
June 24, 2026 – Present
IBM - DL0110EN: Deep Learning with Python and PyTorch
edX
June 24, 2026 – Present
IBM - DL0120EN Deep Learning with Tensorflow
edX
June 24, 2026 – Present
IBM: DL0101EN Deep Learning Fundamentals with Keras
edX
June 24, 2026 – Present
Microsoft Certified: Azure Solutions Architect Expert
Microsoft
June 24, 2026 – Present
Microsoft Certified: Microsoft Specialist: Design and Implement Big Data Analytics Solution
Microsoft
June 24, 2026 – Present
THINK501x: Rochester Institute of Technology - Design Thinking Fundamentals
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long and varied career, demonstrating adaptability across different companies and roles within the data and AI space. Their experience spans multiple industries and a wide range of technical challenges, indicating a broad perspective and ability to integrate into diverse organizational cultures. The focus on delivering value to enterprise customers and continuous learning through certifications suggests a results-oriented and growth-mindset culture fit. However, the lack of recent open-source contributions or community involvement might indicate a more corporate-focused cultural alignment.
Soft Skills & Operational Fit
The candidate's extensive experience in client-facing roles at Microsoft, Teradata, IBM, and SAS suggests strong communication, problem-solving, and consultative skills. Their history of leading deployments and collaborating with diverse teams indicates good operational fit for complex project environments. The descriptions highlight a proactive approach to identifying and solving business challenges using advanced analytics.