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Shahabed/README.md

Hi, I'm Shahab 👋

Data Scientist / ML Engineer focused on hard quantitative problems in industry.

I turn messy real-world data into decisions: optimal inventory under uncertainty, causal effects of interventions, dose-response from microscopy images, and robust statistical pipelines. Python is my main tool; deep mathematical training is the advantage.

What I build

  • Inventory & demand optimization under censoring and lost sales
  • Causal inference (Pearl + Rubin frameworks) for decision support
  • Image analysis pipelines for high-content screening / drug response
  • Production-ready statistical & ML pipelines (regression, classification, survival, shrinkage)

Background that makes the difference

PhD in quantum light-matter interaction (numerical open quantum systems). Two years building drug-discovery pipelines at a pharma spin-off. Strong in Bayesian methods, survival analysis, and high-dimensional statistics. Recent work

Currently focused on

  • Production inventory optimization (Newsvendor + censored demand)
  • Causal modeling for business interventions
  • Clean, reusable statistical tooling

Stack: Python · NumPy · SciPy · pandas · scikit-learn · statsmodels · PyMC · skimage · QuTiP · ...

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  1. Drug-Discovery-ML Drug-Discovery-ML Public

    A repository for the collected algorithms, developed for data analysis, data mining, and machine learning.

    Python

  2. Statistical-Inference Statistical-Inference Public

    Implementations of modern statistical methods from classical and frequentist theory | bootstrap, empirical Bayes, shrinkage, LASSO · Python

    Python

  3. inventory-optimization-newsvendor inventory-optimization-newsvendor Public

    Applied Newsvendor model for optimal inventory ordering in print media wholesale distribution. Demand estimation from censored sales + lost sales, empirical & kernel density distributions, critical…

    Python

  4. bioimage-gfp-nucleus-cytoplasm-analysis bioimage-gfp-nucleus-cytoplasm-analysis Public

    Python pipeline for quantifying GFP nuclear translocation in microscopy images (BBBC013 dataset). Segments nuclei/cytoplasm, computes GFP intensity ratios, and performs dose-response analysis for d…

    Python

  5. Soil-and-Content-Impact-ML Soil-and-Content-Impact-ML Public

    Two reusable ML pipelines: Soil Organic Carbon prediction from NIR spectroscopy (regression + PCA/VIF) and News Article Impact classification from metadata. Strong emphasis on preprocessing, featur…

    Python

  6. Quantum-Theory-PhD Quantum-Theory-PhD Public

    Numerical simulation of quantum light-matter interaction in cascaded cavity systems | PhD thesis · TU Berlin · QuTiP

    Python