Shunqi Wang is a Data Science Analyst based in Singapore with eight years of experience applying analytics, machine learning, and data engineering to operational and product problems. At Speedoc he led a data warehouse redesign and moved pipelines from ETL to ELT, demonstrating a focus on scalable data platforms and automation. Previously he built predictive admission models at Everything Analytics and developed IoT sensor capture tooling during an HPE internship, showing a blend of applied ML and systems experience. He holds advanced analytics training from Singapore Management University and a BE in Artificial Intelligence from SUTD, combining strong academic foundations with hands-on delivery. Colleagues describe him as pragmatic about production readiness and curious about GenAI opportunities beyond conventional modeling.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Artificial Intelligence, 4.1/5.0, Bachelor of Engineering - BE, Artificial Intelligence, 4.1/5.0 at Singapore University of Technology and Design (SUTD)
Master of IT in Business (Analytics Track), Data Analytics, 3.77/4.0, Master of IT in Business (Analytics Track), Data Analytics, 3.77/4.0 at Singapore Management University
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at City University of Hong Kong
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