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joethanyoung/README.md

Zhuoxun Yang

Analytics portfolio focused on business intelligence, data quality, statistical analysis, and decision-support reporting.

I use SQL, Python, R, and BI tools to turn structured data into clear analysis, monitoring logic, and practical recommendations for business stakeholders.

What My Projects Demonstrate

  • Business-facing analysis from structured operational and transaction data
  • KPI-oriented reporting, dashboard thinking, and stakeholder-ready summaries
  • Data cleaning, data quality checks, and reproducible analytical workflows
  • Customer segmentation and transaction-level analysis for commercial decisions
  • Statistical monitoring and anomaly detection for review prioritisation
  • Selected predictive modelling and NLP projects where modelling supports analysis

Toolkit

  • Languages: Python · R · SQL
  • Business Intelligence: Power BI · Tableau · Excel · dashboarding · KPI reporting
  • Data Analysis: pandas · NumPy · tidyverse · data cleaning · exploratory analysis
  • Data Quality: validation checks · anomaly review · transaction monitoring
  • Statistics: hypothesis testing · CUSUM · Benford's Law · stratified sampling
  • Modelling: scikit-learn · XGBoost · K-Means · PyTorch · Transformers
  • Visualization: Power BI · Tableau · matplotlib · seaborn · ggplot2
  • Workflow: Jupyter Notebook · Git · GitHub · Hugging Face

Featured Projects

Project What it demonstrates Stack
renewable-asset-performance-monitoring Renewable asset performance monitoring, budget-vs-actual reporting, ownership-weighted KPIs, and underperformance review across Denmark and Germany Python · pandas · matplotlib
rfm-customer-segmentation Customer segmentation, RFM logic, Tableau dashboarding, and commercial prioritisation from transaction data Python · Tableau · K-Means · scikit-learn
cusum-anomaly-detection Statistical monitoring, time-series anomaly flagging, and review prioritisation R · qcc
insurance-claim-analysis Transaction review, data quality checks, outlier detection, and audit-oriented analytics R · benford.analysis
ml-classification-pipeline Supervised modelling discipline, missing data handling, model comparison, and evaluation Python · XGBoost · scikit-learn
yelp-sentiment-roberta Selected NLP project covering text classification, model evaluation, and inference workflow Python · PyTorch · Transformers

Pinned Loading

  1. renewable-asset-performance-monitoring renewable-asset-performance-monitoring Public

    Python

  2. rfm-customer-segmentation rfm-customer-segmentation Public

    Customer segmentation using RFM analysis and K-Means clustering to support customer maintenance prioritization

    Python

  3. cusum-anomaly-detection cusum-anomaly-detection Public

    CUSUM control chart workflow for monthly time-series anomaly detection

    R

  4. insurance-claim-analysis insurance-claim-analysis Public

    Statistical anomaly review using Benford's Law and transaction-level pattern analysis

    R