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  • Washington University in Saint Louis
  • USA
  • LinkedIn in/cschibber

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ConstanzaSchibber/README.md

Hi there 👋

Data Scientist building and evaluating LLM- and agent-based consumer products — from early prototypes to launch decisions that improve model quality, UX, and safety.

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  1. capstone_colors capstone_colors Public

    Color-matching makeup shades using k-means clustering and Claude multimodal LLM, evaluated with Delta E / CIELAB. Includes human annotation pipeline and Streamlit app.

    Jupyter Notebook 1

  2. makeup-filter makeup-filter Public

    Streamlit app for filtering makeup products by color shade. Built on CIELAB color predictions from the capstone_colors project.

    Python

  3. Generalized-Linear-Models Generalized-Linear-Models Public

    PhD-level labs on GLMs: binomial, multinomial, ordered, and count models, Monte Carlo simulation for predictions, and first differences, implemented in R.

  4. Math-For-SocialScience Math-For-SocialScience Public

    Mathematical foundations for statistical computing: linear algebra, calculus, optimization, and probability, with R applications. PhD-level course material.

  5. Multilevel-Modeling---PhD-Course Multilevel-Modeling---PhD-Course Public

    PhD labs on multilevel modeling: random effects, cross-level interactions, marginal effects via MC simulation, hierarchical logit, and MrP.