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Hi, I'm Hayden (Sung Him) Chiu—a data scientist with a passion for turning complex data into actionable insights. I specialize in analytics, experimentation, and data engineering, with strong SQL and Python skills and experience building scalable ETL pipelines. I work across teams to translate vague business questions into structured hypotheses, measurable metrics, and data-driven solutions that drive impact. I enjoy cross-functional collaboration, operational optimization, and delivering tangible results through rigorous analysis, model development, and effective communication of insights to stakeholders.…Hi, I'm Hayden (Sung Him) Chiu—a data scientist with a passion for turning complex data into actionable insights. I specialize in analytics, experimentation, and data engineering, with strong SQL and Python skills and experience building scalable ETL pipelines. I work across teams to translate vague business questions into structured hypotheses, measurable metrics, and data-driven solutions that drive impact. I enjoy cross-functional collaboration, operational optimization, and delivering tangible results through rigorous analysis, model development, and effective communication of insights to stakeholders.

Hayden (Sung Him) Chiu

Data Scientist, Data Analyst, AI Engineer, +1

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Hi, I'm Hayden (Sung Him) Chiu—a data scientist with a passion for turning complex data into actionable insights. I specialize in analytics, experimentation, and data engineering, with strong SQL and Python skills and experience building scalable ETL pipelines. I work across teams to translate vague business questions into structured hypotheses, measurable metrics, and data-driven solutions that drive impact. I enjoy cross-functional collaboration, operational optimization, and delivering tangible results through rigorous analysis, model development, and effective communication of insights to stakeholders.…Hi, I'm Hayden (Sung Him) Chiu—a data scientist with a passion for turning complex data into actionable insights. I specialize in analytics, experimentation, and data engineering, with strong SQL and Python skills and experience building scalable ETL pipelines. I work across teams to translate vague business questions into structured hypotheses, measurable metrics, and data-driven solutions that drive impact. I enjoy cross-functional collaboration, operational optimization, and delivering tangible results through rigorous analysis, model development, and effective communication of insights to stakeholders.

Available to hire

Hi, I’m Hayden (Sung Him) Chiu—a data scientist with a passion for turning complex data into actionable insights. I specialize in analytics, experimentation, and data engineering, with strong SQL and Python skills and experience building scalable ETL pipelines. I work across teams to translate vague business questions into structured hypotheses, measurable metrics, and data-driven solutions that drive impact.

I enjoy cross-functional collaboration, operational optimization, and delivering tangible results through rigorous analysis, model development, and effective communication of insights to stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Science Consultant at Calgary Police Service

March 1, 2024 - Present

Led full-cycle analytics project analyzing thousands of under-classified 911 calls to identify operational patterns and inform resource allocation. Translated ambiguous business questions from law enforcement stakeholders into structured hypotheses, analytical plans, and measurable metrics. Built embedding-based models to cluster incident narratives, revealing high-impact themes affecting patrol demand and response times.

Data Analyst, Continental Supply Chain at Groupe SEB

August 1, 2019 - November 1, 2022

Owned end-to-end ETL workflows for APAC supply chain reporting, using SQL and Python to centralize data ingestion, transformation, and validation across multiple operational systems. Redesigned daily ETL pipelines that transformed multi-source purchase order data into SAP-ready formats, reducing manual preparation time from 2 hours to 5 minutes and ensuring consistent KPI outputs. Built automated data quality checks (schema validation, outlier detection, reconciliation logs) that improved the reliability of weekly logistics and shipment dashboards. Developed production-grade reporting pipelines and dashboards (Qlik Sense) that automated recurring insights on demand, delays, freight cost, and container utilization for regional managers. Partnered with logistics, finance, and IT to standardize metric definitions, consolidate business logic across ETL jobs, and resolve upstream data integrity issues.