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Be1an001/README.md

Hi, I'm Cheng Liu :)

Analytics graduate from Northeastern University, Silicon Valley (Applied Machine Intelligence).
Previously a Java software engineer in Taipei. Now focused on data analysis, machine learning, and building decision-support tools that people can actually use.

What I work with

  • Languages: Python, SQL, R, Java
  • ML / Analytics: XGBoost, Random Forest, SHAP, scikit-learn, statistical analysis
  • Tools: Tableau, Streamlit, MySQL, Jupyter, Git, Hadoop

A few things I've built

  • Salifort Motors Attrition App — retention screening model extended into a working Streamlit app (threshold tuning, SHAP views, department exposure)
  • Semiconductor Pass/Fail Prediction — leakage-safe ML workflow on UCI SECOM sensor data
  • Flight Delay Analytics — transformed raw shipment records into a Tableau dashboard for operational delay analysis
  • Waze Churn Modeling — five-model comparison with calibration review and CatBoost SHAP explainability

Background

I took a non-linear path from advertising design, field work, information management, Java engineering, to a master's in analytics in the US. Each step added something useful: I tend to think about data problems with both an engineering mindset and a communication-first approach.

📍 Taiwan  |  📧 akbakb480000@gmail.com  |  LinkedIn  |  Streamlit App

Pinned Loading

  1. nvidia-risk-management-analysis-python nvidia-risk-management-analysis-python Public

    Portfolio version of my ALY6130 project on NVIDIA risk management using risk scoring, heat maps, scenario modeling, and Monte Carlo simulation.

    Jupyter Notebook

  2. salifort-motors-attrition-modeling-python salifort-motors-attrition-modeling-python Public

    Cost-aware employee attrition modeling project based on the Salifort Motors case, with operational and survey-rich modes, SHAP explainability, and HR-focused retention insights.

    Jupyter Notebook

  3. semiconductor-pass-fail-prediction-python semiconductor-pass-fail-prediction-python Public

    Semiconductor pass/fail prediction project using the UCI SECOM dataset with leakage-safe preprocessing, model comparison, and threshold-based evaluation.

    Jupyter Notebook

  4. nyc-taxi-generous-tipper-classification-python nyc-taxi-generous-tipper-classification-python Public

    Public portfolio rewrite of the Automatidata project using official NYC Open Data, Colab, and XGBoost to predict generous tipper trips.

    Jupyter Notebook

  5. pharmacy-claims-data-warehouse-sql pharmacy-claims-data-warehouse-sql Public

    Portfolio version of an ALY6030 SQL final project that turns a raw pharmacy claims sample into a star schema with PK/FK design, ERD, and reporting queries.

  6. salifort-retention-risk-explorer-streamlit salifort-retention-risk-explorer-streamlit Public

    Streamlit app for operational HR attrition screening and decision support based on the Salifort Motors portfolio case.

    Python