Zachary Lim

Data product professional with a Statistics and Computer Science background and 4+ years spanning clinical AI, digital health market intelligence, and SaaS engineering. Comfortable working across the full product lifecycle, from scoping and research through to shipping and iteration. Brings strong analytical foundations and hands-on experience building with AI tools to roles that sit at the intersection of product thinking and technical execution.

Product Manager & Founder at Solah (2026-03 – Present)

Resole Service Business

• Identified an underserved market in Singapore's climbing market through customer interviews and competitor analysis, and market validation.
• Defined and launched an end-to-end climbing shoe resoling service, designing the customer journey, ordering experience, logistics, and fulfilment workflows from concept to launch.
• Leveraged Claude as an AI development copilot to rapidly prototype, build, and deploy both a customer-facing website and an internal operations platform, translating product requirements into working software and iteratively refining AI-generated implementations.
• Designed an internal business operations platform to centralise order management, inventory, supplier relationships, customer communications, financial tracking, and business analytics, improving operational visibility and decision-making.
• Developed and executed the go-to-market strategy through partnerships with local climbing gyms and data-informed social media campaigns that built brand awareness and generated early customer demand pre-launch.
• Established scalable operational processes across supplier management, quality assurance, and customer support, continuously improving workflows based on operational feedback.

Business Analyst / Project Manager at Galen Growth (2025-01 – 2026-07)

Digital Health Intelligence & Analytics

• Own data integrity for the analytics platform underpinning Galen Growth's client-facing product, published market reports, and define systematic quality checks and root cause analysis to cut downstream data error rates by ~70%.
• Translated error-pattern analysis into the technical case for rebuilding the news scraper pipeline. Partnered with engineering through the rebuild, sustaining error reduction across 3,000+ resolved backend system errors.
• Designed a multi-criteria evaluation framework to score hundreds of digital health ventures per market; produced shortlists and presented findings directly to a global pharmaceutical client.
• Coordinated 7+ partnership events across Southeast Asia including a 250-person event, contributing to a partnership and investment outcome between the client and a Southeast Asian digital health venture.
• Partner with the executive team to align platform priorities against shifting market trends and client demand.

Data Analyst at National University Polyclinic (2024-02 – 2025-01)

Public Healthcare & Clinical Research

• Bridged clinicians and engineering on a population-scale chronic disease AI application. Shaped the data structure, decision logic, and feedback response design, directly determining how the product communicated results to patients.
• Led data analysis for a clinical research project processing 20,000+ patient records in Python and R; research accepted and presented at an international medical conference (WONCA).
• Designed and implemented statistical evaluation frameworks for healthcare data, improving data accuracy and integrity by 30%.
• Built predictive models validating clinical hypotheses across multiple research streams, informing end-to-end patient journey analysis.
• Served as sole data subject matter expert supporting 5 doctors across postdoctoral research spanning emergency medicine, chronic disease, and population health.

Software Engineer at Vista Group (2023-01 – 2024-02)

SaaS for the Global Film Industry

• Integrated APIs and shipped internal dashboards with engineering and product teams, improving operational decision-making on a global SaaS platform serving the film industry.
• Built and optimised backend ETL pipelines, reducing data processing times by ~20%.
• Automated data validation with structured documentation, cutting data discrepancies by 25%.
• Owned a data anonymisation service ensuring GDPR and SOC-2 compliance across Vista's global customer base.

Bachelor of Science in Statistics and Computer Science – University of Auckland