• 👂 My name is Eileen Ip
• 👩 Pronouns: she/her
• 👀 I turn audience and customer data into decisions — dashboards, models, and clear write-ups for media, marketing, and gaming teams.
• 🎯 Domains I work in: Gaming, Media & Entertainment, Social Media, Marketing, Customer Experience.
• 🔭 I’m currently working on transitioning from data to AI projects.
• 🌱 I’m currently learning how to use AI agents in workflows.
• 🤝 Based in Brisbane — open to opportunities across Australia and Hong Kong, including remote work.
• 🤔 Always keen to connect with people working in data — reach out!
• 💬 Ask me about anything!
• 📫 How to reach me:
• ❤️ I love breaking down complex and ambiguous business problems.
• ⚡ Fun fact: Did you know jellyfish can survive for a long time without a brain so I'm fine~

Each links to the code, and to a live dashboard or full case study where one exists. Full write-ups: eileenip.github.io/projects.html

🎮 Launch Sentiment: What Turned, and How Early It Showed · live dashboard

886,850 Steam reviews testing whether complaint themes warn you before a game's review score collapses. They don't — and the null is the finding. A 12-point single-day drop rule fires 3 times in 9 months with zero false alarms; the obvious level rule fires 35 times, 29 of them nothing.

📈 Ad Creative Performance Pipeline · live dashboard · lineage docs

dbt-core + DuckDB + GitHub Actions, built to survive a deliberately hostile upstream. Reconciles to ground truth exactly across 25,892 rows — except the 3 defect types it is never supposed to silently fix.

📉 Subscriber Churn Early-Warning & LTV Segmentation

21.5M real music-streaming transactions. 84.2% of real cancellations caught at the deployed threshold, with churn risk crossed against actual subscription spend rather than a proxy.

💼 Advertising Revenue & Sales Efficiency

End-to-end Power BI / SQL Server / DAX decision system. $10.50M revenue against a $14.10M target, diagnosed through campaign, lifecycle and sales evidence rather than reported as a gap.

🛒 E-Commerce Purchase-Prediction & Conversion Funnel

0.92 ROC-AUC purchase model, still holding at 0.946 a month later with no retraining.

🎬 Creator Content Decision Dashboard

Tableau dashboard answering which content a creator should scale, promote or improve next.

Focus: content performance, audience behaviour, growth & product analytics
➡️ View Media & Entertainment Projects

Focus: financial analytics, risk modelling, NLP & predictive analysis
➡️ View Finance Projects

Focus: customer analytics, demand forecasting, revenue optimisation
➡️ View E-commerce & Retail Projects

• 👩‍💻 Analysis: Python, R, Excel and Google Sheets
• 📊 Visualisations: Power Bi and Tableau
• 💻 Databases: SQL, Databricks, Git, Snowflake
• 🤖 Artificial Intelligence: Claude, Deepseek, Google Gemini, Copilot, Perplexity and ChatGPT
• ☁️ Cloud: Amazon AWS