Hello, I am
Ek Hong
Data Science and Technology Consultant | Aspiring Entrepreneur | Educator | Fitness Enthusiast
Hello, I am
Data Science and Technology Consultant | Aspiring Entrepreneur | Educator | Fitness Enthusiast
Experienced Data Science and Technology consultant helping organizations navigate technology, AI and advanced analytics by bridging the gap between deep technical concepts and executive-level strategy. My approach combines a consulting mindset with a focus on building scalable data infrastructure, to ensure teams are equipped to solve today’s problems while prepared for tomorrow’s shifts.
Data Science Consulting
BSc. Mechanical Engineering
MSc. Statistics
PhD. Operations Research and Analytics
Acquiring formal, structured training in software development and modern web frameworks to bridge the gap between academic data science and production-grade applications.
Specializing in building full-stack architectures and agentic orchestration to design reliable software agents and autonomous data science pipelines.
Seeking to capitalize on the collapsed barriers to entry for businesses brought about by GenAI to incubate lean, scalable ventures.
Merging data science expertise with full-stack capabilities to leverage agentic orchestration and engineer autonomous solutions for real world problems.
Strategic Process Overhaul: Created structure for product/tech teams via defined roles and project management frameworks; transitioned culture from reactive to proactive with a 5-year technical roadmap.
Business Optimization: Overhauled econometric/ML models and data collection, resolving customer integrity concerns and renewing stakeholder confidence.
Innovation: Implemented open-source BI (Superset/Metabase) for tracking key metrics and built automation and GenAI-enabled workflows supporting >20% YoY revenue growth.
Engaged industry partners to translate business requirements into technical project scopes and prototypes to secure funding.
Built GenAI proof-of-concepts, including a WhatsApp webhook tool to automate customer replies and reduce lost sales.
Specialization: Information acquisition frameworks and machine learning models for industrial problems.
Key works: Manipulating Bias-Variance trade-offs (ssrn.4857275), Bayesian Dynamic Programming (ssrn.5118887), and scalable GLM contextual bandit models.
Project Rescue: Steered a struggling SGD 730,000 project back on track through success in performance alignment and technical leadership.
Innovation: Conceptualized and led development of knowledge management software using clustering to automatically identify manufacturing defects.
Process Leadership: Introduced coding discipline and documentation to facilitate knowledge transfer across research teams.
Stategic Positioning: Helped secure SGD 350,000 in funding by aligning IORA resources with KNS digital transformation goals; regular C-suite engagements.
Technical Impact: Developed ML models contributing to 5%–15% cost reduction and deployed predictive anomaly detection beyond traditional SPC methods.
Developed data models, Hive queries, and QlikView dashboards for DBS’s Trade Risk Monitoring Solution.
Co-developed a PySpark-based anomaly detection application for flight data monitoring and built reusable analytics libraries for client tenders.
A visualization tool for options simulations, modelling changes in price and Greeks across scenarios. Also serves as a portfolio management dashboard for tracking performance and running position analysis.
An educational resource helping elderly users navigate modern technology and stay safe from scams. Features an interactive AI chatbot that can quiz, guide, and teach users on the topics covered across the site.
A TypeScript scaffold for building composable agentic AI systems, with pre-built agent patterns for research, orchestration, and skills management. Powered by Vercel AI SDKs with Langfuse observability built in — easily extended to power personalized agents, coding agents and more.
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