I am a data analytics professional who translates messy, ambiguous data into clear, decision-ready insights. I thrive on structuring complex problems, connecting signals, and synthesizing evidence into precise, defensible conclusions that guide decision-making. My work spans analytics, market research, and client-facing environments where accuracy and clarity directly influence outcomes. Currently, I am working on an industry-sponsored capstone project with Wellington Electricity in New Zealand, building models to quantify wholesale price risk under hydro uncertainty and designing real-time risk monitoring to improve governance and budgeting. I also perform AI data annotation and model evaluation tasks across global platforms, ensuring quality and alignment with task objectives.…

Yalan Zhuang

I am a data analytics professional who translates messy, ambiguous data into clear, decision-ready insights. I thrive on structuring complex problems, connecting signals, and synthesizing evidence into precise, defensible conclusions that guide decision-making. My work spans analytics, market research, and client-facing environments where accuracy and clarity directly influence outcomes. Currently, I am working on an industry-sponsored capstone project with Wellington Electricity in New Zealand, building models to quantify wholesale price risk under hydro uncertainty and designing real-time risk monitoring to improve governance and budgeting. I also perform AI data annotation and model evaluation tasks across global platforms, ensuring quality and alignment with task objectives.…

Available to hire

I am a data analytics professional who translates messy, ambiguous data into clear, decision-ready insights. I thrive on structuring complex problems, connecting signals, and synthesizing evidence into precise, defensible conclusions that guide decision-making. My work spans analytics, market research, and client-facing environments where accuracy and clarity directly influence outcomes.

Currently, I am working on an industry-sponsored capstone project with Wellington Electricity in New Zealand, building models to quantify wholesale price risk under hydro uncertainty and designing real-time risk monitoring to improve governance and budgeting. I also perform AI data annotation and model evaluation tasks across global platforms, ensuring quality and alignment with task objectives.

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Language

English
Fluent
Chinese
Fluent

Work Experience

Capstone Project Analyst at Wellington Electricity
November 1, 2025 - Present
Industry sponsored capstone project addressing wholesale electricity price risk driven by hydrological uncertainty in a hydro-dominated market. Built stochastic and regime-based models linking hydro storage dynamics to conditional price distributions and extreme price risk. Assessed cost exposure under dry-year scenarios and designed a real-time risk monitoring concept to inform hedging triggers, improve budget accuracy, and strengthen risk governance.
AI Data Annotation & Model Evaluation (Contract) at Global AI Platform
August 1, 2025 - December 1, 2025
Evaluated and annotated AI-generated outputs across multilingual and domain-specific tasks, following strict instruction sets and quality guidelines. Reviewed model responses for factual accuracy, logical consistency, policy compliance, and alignment with task objectives. Conducted bilingual English-to-Chinese QA, including semantic accuracy checks, tone appropriateness, and cross-language consistency.
Data Analyst
February 1, 2016 - February 1, 2018
February 2016 – February 2018 (Hong Kong SAR): Conducted behavioral analysis on customer and campaign data using SQL and Excel to segment users and identify differences in engagement and conversion patterns. Created basic customer performance summaries and campaign comparison views to track key metrics and support marketing decision-making. Evaluated campaign performance and A/B testing results to assess content effectiveness and guide iterative optimization of digital content strategy.
SAP Data Analyst at STMicroelectronics
July 1, 2006 - February 1, 2011
Analyzed SAP-based order, inventory, and customer service data to identify operational bottlenecks, support performance tracking, and improve order fulfillment efficiency. Utilized SAP SD and MM modules to extract and analyze business data, monitor key supply chain indicators, and support data-informed operational decisions. Supported the implementation of automated workflow alerts within SAP systems, enabling faster issue identification and more efficient cross-functional coordination.
Data Analyst at Qisibohui Consulting Co., Ltd
April 1, 2019 - February 1, 2025
Identified edge cases, ambiguity, and failure patterns in model behavior, providing structured feedback to improve response quality. Performed comparative evaluation between multiple model outputs and justified rankings based on defined criteria. Worked with complex instructions, multi step reasoning tasks, and quality assurance checks under time and accuracy constraints.

Education

Master of Analytics — Data Analytics at Massey University
February 12, 2025 - February 28, 2026

Qualifications

SQL for Data Science - Academic Excellence Award
January 11, 2030 - January 7, 2026
Academic Excellence Award
January 11, 2030 - January 7, 2026

Industry Experience

Professional Services, Software & Internet, Media & Entertainment, Education
    paper Hydro-Risk Price Forecasting for a Hydro-Dominated Electricity Market (New Zealand)

    This project focuses on analysing wholesale electricity price risk in a hydro-dominated market under conditions of hydrological uncertainty. Using publicly available hydrological and market data, I developed a regime-based stochastic framework linking hydro storage conditions to price risk, with particular emphasis on extreme outcomes during dry-year scenarios.

    The analysis combines exploratory data analysis, regime classification, and stochastic simulation to estimate conditional price distributions and tail risk measures relevant for hedging and risk monitoring. Results were translated into interpretable monitoring signals designed to support practical decision-making under sustained supply stress.

    The project was conducted as an applied analytics research project in collaboration with Wellington Electricity, with a focus on analytical rigour, interpretability, and real-world usability.