Data Analytics & Operations

Joanna Woo
Hui Jun

Shipping operations professional turned data analyst. I build analytical tools that bridge domain expertise with data-driven decision making — from commodity price forecasting to voyage economics.

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About

Where shipping meets data science

With 1.5 years in dry bulk commercial shipping at Torvald Klaveness, I managed charter party negotiations, bunker procurement strategy, and voyage P&L analysis across global trade routes.


I've since completed a Data Analytics Bootcamp at General Assembly, building fluency in Python, SQL, Tableau, and Power BI. My capstone — a biodiesel price forecasting model — reflects my interest in applying machine learning to commodity markets.


I hold a Bachelor of Business Management from SMU (Operations Analytics major) with a Lean Six Sigma Green Belt, combining quantitative rigour with operational intuition.

1.5+
Years in Dry Bulk Shipping Operations
SMU
Business Management (Ops Analytics)
GA
Data Analytics Bootcamp Graduate
LSSGB
Lean Six Sigma Green Belt
Toolkit

Languages, tools & frameworks

Python SQL Tableau Power BI Pandas NumPy Scikit-Learn Matplotlib Seaborn XGBoost ARIMA Random Forest Excel / VBA Git / GitHub Jupyter Notebooks Data Cleaning EDA Feature Engineering Predictive Modelling Voyage P&L Analysis Charter Party Ops Bunker Strategy
Projects

Selected work

Biodiesel Price Analysis Capstone
Capstone · Machine Learning

Biodiesel Price Analysis & Prediction

End-to-end commodity price forecasting model using historical price data, supply-demand indicators, and macroeconomic variables. Compared ARIMA, Random Forest, and XGBoost to identify the best-performing approach for biodiesel price prediction.

Python Pandas Scikit-Learn XGBoost Matplotlib
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Data Analytics · Visualisation

US Presidential Election Voting Trends

Exploratory data analysis of historical US presidential election data, uncovering voter turnout patterns, demographic shifts, and state-level trends through statistical analysis and interactive visualisations.

Python Pandas Tableau SQL EDA
View on GitHub
Experience

Where I've worked

Nov 2025 — Mar 2026
Data Analytics Bootcamp
General Assembly
Intensive program covering Python, SQL, Tableau, and Power BI. Capstone project on biodiesel price forecasting using machine learning models.
2022 — 2024
Vessel Operations Executive
Torvald Klaveness
Managed dry bulk commercial operations including charter party negotiations, bunker procurement strategy, and voyage P&L analysis across global trade routes.
2021
Bachelor of Business Management
Singapore Management University
Operations Analytics major. Achieved Lean Six Sigma Green Belt certification alongside academic coursework in process optimisation and quantitative methods.
Contact

Let's connect

I'm currently exploring opportunities in commodity analytics, data analytics, and maritime commercial operations. Open to conversations about roles where data meets domain expertise.

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