Bonnie Chan
Energy · Climate · Geotechnical · Digital

Bonnie Chan

Energy & Geotechnical Engineer · Programme & Digital Delivery

📍 East Asia (Hong Kong / Taiwan) · fully remote · flexible timezone

I'm a geotechnical and energy engineer with 2+ years' program-management experience delivering renewable energy, risk and environmental projects across Hong Kong, Taiwan and Japan — from multi-sub-project BESS programmes and offshore wind cable-risk studies to APAC energy market platforms. I work with directors and cross-functional teams on scope, budget, compliance and standard-driven workflows (DNV, ISO), and build the Python / Power BI automation, digitalisation and project-finance tools that keep them moving.

Area of Expertise

What I bring

From subsea cable risk to energy-market dashboards, I blend geotechnical engineering, climate science, and software automation for the renewable sector.

Standards & compliance 01
▤

Standard-Driven

Aligning geotechnical and cable-burial work with DNV, ISO and IMS frameworks for compliance and defensibility.

DNV C207DNV ST-0359DNV F107ISO 14688ISO 9001/14001/45001
Programme delivery 02
⚙

Program & Delivery

Coordinating multi-team BESS, offshore-wind and due-diligence programs — scope, budget, schedule and reporting for directors and clients.

8 × BESS sub-projectsOffshore wind FEEDTechnical DDPMO & reporting
Data & automation 03
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Data & Automation

Python, VBA and Power Platform workflows that turn spreadsheets into real-time dashboards and cut reporting cycles from days to minutes.

PythonVBAPower Apps · BI · AutomateZarr · xarrayQGIS · ArcGIS

Tech & tools

PythonPython
Excel / VBAExcel / VBA
Power BIPower BI
Power AppsPower Apps
Power AutomatePower Automate
QGISQGIS
ArcGISArcGIS
EsriEsri
Ansys / LS-DYNAAnsys / LS-DYNA
GitGit
JupyterJupyter
PythonPython
Excel / VBAExcel / VBA
Power BIPower BI
Power AppsPower Apps
Power AutomatePower Automate
QGISQGIS
ArcGISArcGIS
EsriEsri
Ansys / LS-DYNAAnsys / LS-DYNA
GitGit
JupyterJupyter
scikit-learnscikit-learn
PyTorchPyTorch
AnacondaAnaconda
NumPyNumPy
SciPySciPy
PlotlyPlotly
PostgreSQLPostgreSQL
MySQLMySQL
SQLiteSQLite
RR
scikit-learnscikit-learn
PyTorchPyTorch
AnacondaAnaconda
NumPyNumPy
SciPySciPy
PlotlyPlotly
PostgreSQLPostgreSQL
MySQLMySQL
SQLiteSQLite
RR

Plus geotechnical interpretation · cable burial risk · DNV & ISO standards · offshore wind & BESS · NWP verification & ERA5-Land · probabilistic risk modelling.

Projects

Selected work

Nine projects spanning offshore wind, battery storage, technical due diligence and landslide research — plus two interactive digital tools I built outside work.

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EnergyGeotech
Offshore wind farm in the Taiwan Strait
Work project · Arup · 2025

An Offshore Wind Farm in Taiwan Strait — Subsea Cables

Named preparer on the two principal geotechnical deliverables for the inter-array cables, export cable corridor and HDD shore approach — the Geotechnical Interpretation Report and the Cable Burial Risk Assessment, carried from first issue through successive client review cycles.

Read case study →
ClimateDigital Tool
Earth Data Compression Benchmark
Personal project · Independent · 2026

Earth Data Compression Benchmark

Interactive benchmark for lossy / lossless compression of ERA5-Land data (Zarr + Blosc-Zstd). Pre-loaded Asia 48h subset — runs fully in your browser.

Open the tool →
EnergyDigital Tool
Offshore Wind Farm Investment Planner
Personal project · Independent · 2026

Offshore Wind Farm Investment Planner

Interactive project-finance model for offshore wind — valuation, debt sizing, 25-year cash flow and covenant stress tests that tell you which variable to move to make a deal bankable.

Open the tool →
Due DiligenceEnergy
Renewable energy investment across Asia
Work project · Arup · 2024

Technical Due Diligence — Japan Renewables

Desktop studies and risk assessments for five onshore wind and solar sites — feasibility, environmental and regulatory review, land rights, natural hazards and CAPEX/OPEX — feeding the investor's go / no-go decisions.

Read case study →
Climate
CPAS predicted track of Cyclone Tauktae vs GFS and NOAA best track
Internship · ClusterTech · 2023

CPAS: Predicting Cyclone Tauktae

An 8–4 km variable-resolution global model forecast of one of the strongest cyclones ever to hit India's west coast — landfall predicted within a few kilometres of the best track, more accurate than GFS.

Read case study →
Climate
ERA5-Land and MODIS data cube for wildfire prediction
Final-year project · HKU · 2023

Predicting Wildfires in Alaska

Supervised ML on ERA5-Land weather and MODIS burned area to forecast next-day wildfire occurrence — XGBoost hit 82.9% accuracy in under two minutes.

Read case study →
Geotech
Hong Chi Pinehill Village landslide
Work · Arup / GEO-CEDD · 2024

Pinehill & Lei Pui Street Landslide Back-analysis

3D numerical back-analysis of rainstorm-induced landslides with LS-DYNA — quantifying mobility and failure scenarios, and modelling the open-hillside-to-channelised-debris-flow transition to inform risk-reduction measures for government stakeholders.

Read case study →
EnergyProject Mgt
Battery energy storage system
Work project · Arup · 2024

A Major Utility-scale BESS Programme

Programme management and commercial reporting backbone for Hong Kong's first utility-scale battery energy storage system — an eight sub-project portfolio at 2,000+ man-hours per month, with automation that cut reporting from days to minutes.

Read case study →
EnergyDigital ToolProject Mgt
Renewable energy opportunities map across Asia
Work project · Arup · 2025

APAC Energy Opportunities Map

Designed and built an internal platform (Power Apps, SharePoint, Power Automate, Power BI) that gives regional leadership a single real-time view of the BESS, offshore wind, solar and ammonia pipeline — replacing spreadsheet tracking.

Read case study →
My Work

Experience by company

Two-plus years across Arup Taipei and Arup Hong Kong, plus research and software roles in Hong Kong, the United States and beyond.

Sep 2025 — Present

Graduate Engineer · Arup Taipei

Offshore wind FEED, subsea cable geotechnics and cable burial risk.

Oct 2023 — Sep 2025

Assistant Geologist · Arup Hong Kong

Energy and renewable investments — BESS programme management, digital PM and finance tools, technical due diligence and landslide back-analysis.

Aug 2023

Summer Research Student · Caltech, USA

Atmospheric chemistry — spatial analysis of global and seasonal H₂O₂ distributions and numerical model runs — Pasadena, USA.

Feb 2023 — May 2023

Internship · ClusterTech Limited

Numerical weather prediction — back-analysis of tropical cyclone Tauktae with the CPAS model.

Jun 2021 — Aug 2021

Junior Software Developer (Machine Learning) · FinKab

Fintech — interactive stock analytics web platform (AngularJS, MySQL, JavaScript).

Jan 2020 — Dec 2020

Student Placement (1-year) · Hong Kong Observatory

Severe weather — spatiotemporal CNN models on radar imagery for intense wind-gust early warning.

Education History

Education

2018 — 2023

Bachelor of Science in Earth System Science

The University of Hong Kong · First Class Honours

Focus in data analysis and modelling in Earth sciences, meteorology, and environmental remote sensing.

Credentials

Certificates

🛡

ISO 9001:2015 · ISO 14001:2015 · ISO 45001:2018 — Integrated Management Systems Internal Auditor (eLearning)

SGS · Jan 2026

🔋

ISO 50001:2018 — Energy Management Systems — Implementation Training Course

SGS · Jan 2026

📋

Google Project Management: Professional Certificate

Google · May 2025

📈

Google Data Analytics Specialization

Google · Jun 2024

🎨

Google UX Design Specialization

Google · Nov 2024