Ali Sarabi

Ali Sarabi

Data Scientist and Machine Learning Expert, PhD student in Industrial Engineering at Arizona State University. Specializing in deep learning frameworks for high-dimensional time series forecasting.

Recent Publications

  1. A Deep Learning Framework for High-Dimensional Time Series Forecasting

    Sarabi Ali, Sarabi Arash, Runger G. (Under Preparation)

    2024Under Preparation
  2. History of acne predisposing patients with alopecia areata to develop acne on JAK inhibitors

    Gordon E. R., Salas J., Hashemi K., Sarabi A., et al. (Under Review). Journal of the American Academy of Dermatology

    2024Under Review
  3. Oral hyaluronic acid supplement: Efficacy in skin hydration, elasticity, and wrinkle depth reduction

    Amin P., Sarabi A. (equal contribution), et al. (In Press). Journal of Drugs in Dermatology

    2024In Press
  4. Hair-sparing Approach Versus Traditional Hair Clipping for Cerebral Spinal Fluid (CSF) Shunting Procedures

    Arfaie S., Sarabi A., Solgi A., Michaud E., et al. Journal of Neurosurgery: Pediatrics

    November 2024Published
  5. Long-term full-scale intelligent quotient outcomes following pediatric and childhood epilepsy surgery

    Arfaie S., Amin P., Kwan A. T. H., Solgi A., Sarabi A. (equal contribution), et al. Seizure: European Journal of Epilepsy

    February 2023Published
View All Publications

Work

  1. Company
    Expeditise LLC
    Role
    Co-Founder
    Date
  2. Company
    Bayer Corporation
    Role
    Data Scientist Coop
    Date
  3. Company
    Arizona State University
    Role
    Instructor & Research Assistant
    Date
  4. Company
    Sharif Advanced Machinery Development
    Role
    Commercial Department
    Date
Download CV

Education

  1. Arizona State University

    PhD in Industrial Engineering (2017-2025)

    Thesis: A Deep Learning Framework for High-Dimensional Time Series Forecasting

  2. Sharif University of Technology

    M.Sc. in Industrial Engineering (2014-2016)

    GPA: 17.57/20 (3.81/4 in WES format)

  3. Khaje Nasir Toosi University of Technology

    B.Sc. in Industrial Engineering (2010-2014)

    GPA: 17.83/20 (3.7/4 in WES format) - Ranked 1st

Skills

Programming & Tools

Python (PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, OpenCV), SQL, Matlab, Tableau, Google Cloud

Data Science

Deep Neural Networks, Regression, Hypothesis Testing, Dimension Reduction, Feature Selection, Statistics, Classification, Clustering

Languages

Persian (Native), Azerbaijani (Native), English (Fluent), Turkish (Elementary)

Certifications

Lean Six Sigma Green Belt, ISO 9001:2008 Internal Auditor, Multiple DataCamp certificates

Awards & Honors

  • Outstanding Thesis Award - ASU Graduate College (2023-2024)
  • Teaching Excellence Award - GPSA (Nov 2023 & Apr 2024)
  • Research Jump Start Grant - ASU GPSA
  • Full Scholarship - ASU (5 years)

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