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VictorSunarko/README.md

Hi, I'm Victor Sunarko 👋

Statistics undergraduate · Data Science & Machine Learning · Time Series Forecasting · Statistical Modelling


About Me

I'm a Statistics undergraduate at Universitas Negeri Jakarta with a strong interest in the broader field of data science. I work across the full analytical lifecycle, from data preparation and exploration to modeling, evaluation, and post-modeling stages such as interpretability and insight generation. I have experience in machine learning, statistical modeling, and time series forecasting, and I continue to develop my skills across a wide range of data-driven approaches and problem domains.

I am open to applying my background in various areas where statistical thinking and data-driven decision making are valued, including contexts related to risk and analytical validation.

Outside of personal projects, I serve as Tech Lead for the Data Science Learning Path at Google Developer Group on Campus UNJ (GDGoC UNJ), where I design structured learning paths and run monthly Study Jams covering data science and analytical tools.


Tech Stack

Languages

Python R SQL

Machine Learning & Modeling

scikit-learn LightGBM XGBoost CatBoost statsmodels SHAP Optuna

Data & Tools

Pandas NumPy Matplotlib Seaborn Jupyter Git


GitHub Stats


Always open to internship opportunities and collaborations — feel free to reach out.

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  1. Customer-Lifecycle-and-Revenue-Intelligence-System Customer-Lifecycle-and-Revenue-Intelligence-System Public

    End-to-end business intelligence pipeline built on the UCI Online Retail II dataset. Covers Python-based data cleaning, SQLite analytics in DBeaver, and a four-page Power BI dashboard featuring coh…

    Jupyter Notebook

  2. Environmental-Time-Series-Intelligence-System Environmental-Time-Series-Intelligence-System Public

    PM 2.5 Forecasting and Risk Intelligence Pipeline | Beijing Air Quality | ARIMA, SARIMAX, GARCH, LightGBM, SHAP

    Jupyter Notebook

  3. Forensic-Integrated-ML-Pipeline-for-Actuarial-Technical-Pricing Forensic-Integrated-ML-Pipeline-for-Actuarial-Technical-Pricing Public

    Forensic-Integrated ML Pricing Engine for French MTPL insurance. Implements a two-stage frequency-severity ensemble (XGBoost, CatBoost, LightGBM) with Benford’s Law data validation, regulatory mono…

    Jupyter Notebook