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ruoxuannn/README.md

Ruo Xuan (Serena) Tey

BSc Data Science, London School of Economics · Penultimate-year

I build systems that turn messy data into structured decisions — fraud detection classifiers, geospatial data pipelines, multi-agent AI platforms, and statistical models.

Hackathons

🥇 1st Place — Encode Club AI London Hackathon 2026

Live Demo →

Featured Projects

Project What it does Stack
Credit Card Fraud Analysis Analysed 284K+ transactions to surface fraud risk patterns. Logistic regression classifier with 94% recall on a 99.8% imbalanced dataset, handled via SMOTE. Python, Pandas, Scikit-learn, SMOTE
ChemTrace Multi-agent system automating synthesis route generation, real-time supplier pricing, and regulatory screening across jurisdictions. 🥇 Encode Club AI London 2026. Python, REST APIs, ML
POI Activity Index Geospatial data pipeline computing a standardised commercial activity index across 50+ London locations from OpenStreetMap, ratings, and event data. Python, JavaScript, OpenStreetMap API

Skills

Languages: Python (Pandas, NumPy, Scikit-learn), SQL, R, JavaScript Data & ML: Machine learning, ETL pipelines, feature engineering, data modelling, Power BI Tools: Git, Jupyter, REST APIs, FastAPI

📫 teyruoxuan07@gmail.com · LinkedIn

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  1. credit-card-fraud-analysis credit-card-fraud-analysis Public

    ML analysis of 284K+ transactions - 94% fraud recall using SMOTE and logistic regression

    Python

  2. POI-predictor POI-predictor Public

    Forked from zhouhanwu/POI-predictor

    Geospatial data pipeline computing commercial activity indices across 50+ London locations

    JavaScript

  3. st115-guardian-project st115-guardian-project Public

    15-year trend analysis of Guardian university coverage — automated pipeline with 12 visualisations

    Jupyter Notebook

  4. chemtrace chemtrace Public

    Python