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  • Digital Business & Data Science @ University of Europe for Applied Sciences
  • Berlin, Germany

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paperwhite0928/README.md

Data Analyst | Business Intelligence

I uncover the root causes of market dynamics through data, building practical foundations for decision-making via modeling and simulation.
Specialized in EV & mobility market intelligence, econometric causal inference, and interactive dashboard development.

Core Stack

  • Language & Analysis: Python, SQL, Pandas, NumPy
  • Modeling & Inference: Scikit-learn, Statsmodels (Causal Inference & Regression)
  • Visualization & Product: Streamlit, Plotly, Seaborn
  • Tools: Git, VS Code, Jupyter

Key Projects

  • Global EV Market Intelligence & Scenario Forecasting
    • Global BEV market share analysis based on OEM IR disclosures and IEA datasets
    • Empirical validation of Toyota's Multi-Pathway (HEV) strategy for risk hedging during the EV chasm
    • Econometric regression on battery pack cost, charging infrastructure density, and subsidy elasticity
    • Streamlit scenario simulator forecasting 2030–2035 market outcomes under tariff and policy shifts

Contact

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  1. global-ev-market-intelligence-suite global-ev-market-intelligence-suite Public

    Python