CV

Clara Dragut

md4396@columbia.edu
+1 (646) 358--6216
New York, NY, US
LinkedIn GitHub

Summary

Eager to leverage an interdisciplinary background in Mathematics, Computer Science, and Philosophy to design cutting-edge analytics and machine learning solutions. Passionate about blending formal reasoning with computational techniques to tackle complex, real-world challenges in data science and AI.

Education

  • Applied Analytics
    2025-12-31
    Columbia University
    GPA: 4.0 (Projected)
    Courses: Applied Text and Natural Language Analytics, Financial Data Science and Machine Learning, Anomaly Detection, Strategy and Analytics
  • Arts and Sciences
    2024-06-30
    University College London (UCL)
    GPA: First Class Honors

Skills

Programming & Data Science

  • Python
  • NumPy
  • Pandas
  • Scikit-learn
  • TensorFlow
  • Matplotlib
  • Java
  • C++
  • LaTeX

NLP & ML Tools

  • LLMs
  • Prompt Engineering
  • Retrieval-Augmented Generation
  • SBERT
  • BLEU
  • TF-IDF
  • NMF
  • Differential Privacy

Analytics Software

  • Microsoft Excel
  • Microsoft Office Suite

Research Skills

  • Causal inference
  • Structural equation modeling
  • Experiment design
  • Technical writing
  • Project leadership
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