Dooman Akbarian

Dooman Akbarian

Graduate Research Assistant

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  • Timeline

  • About me

    Data Scientist II at The Cincinnati Insurance Companies

  • Education

    • Penn State University

      2015 - 2021
      Doctor of Philosophy (Ph.D.) Mechanical Engineering
    • Penn State University

      2015 - 2021
      Doctor of Philosophy - PhD minor Computational Science
    • Amirkabir University of Technology - Tehran Polytechnic

      2007 - 2011
      Bachelor of Science (BS) Mechanical Engineering
    • Penn State University

      2015 - 2019
      Masters of science Mechanical Engineering
    • University of Tehran

      2011 - 2013
      Master of Science (M.Sc.) Mechanical Engineering
  • Experience

    • University of Tehran

      Aug 2011 - May 2014
      Graduate Research Assistant

      • Development of a finite element numerical model to evaluate the risk of cervical disc arthroplasty.

    • Penn State University

      Aug 2015 - Aug 2021
      Graduate Research Assistant

      • Built a data generation pipeline for hydrocarbon electron affinity dataset by cleaning, aggregating, feature engineering, and missing value imputation; and developed a random forest model to predict the electron affinity of hydrocarbons based on their geometrical features. • Developed a machine learning accelerated atomistic-scale simulation framework for polymerization of polyethylene using ridge regression and classification algorithms. • Developed a deep neural network model to predict the electronic properties of small molecules with 82% testing accuracy over more than 7,200 molecules.• Developed a web-scraper using Selenium library in Python to crawl through the web pages of online chemical databases and collect data. Show less

    • The Data Incubator

      Dec 2020 - Mar 2021
      Data Science Fellow

      • Analyzed the users’ behaviour and predicted the tags of posts on Stack Overflow with 85% accuracy by parsing 10 GB+ XML files through Spark distributed computing framework and natural language processing.• Estimated the ratings of restaurants with 87% accuracy using NLTK library in Python and natural language processing techniques such as bidirectional LSTM method as well as TFIDF-based approach.• Analyzed the health and safety scores and violation of restaurants in NYC for the past 4 years using SQL.• Predicted the type of 10 different objects from their images with 91% accuracy using VGG-19 convolutional neural network model over 60K images.• Developed a web-scraper using Beautiful Soup library in Python to crawl through the NYC Social Diary photo captions and build a complex network graph showcasing social interactions for NYC elite. Show less

    • The Cincinnati Insurance Companies

      Aug 2021 - Oct 2021
      Data Scientist
    • NIH Clinical Center (CC)

      Oct 2021 - Jan 2022
      Fellow
    • The Cincinnati Insurance Companies

      Jan 2022 - now
      • Data Scientist II

        Oct 2023 - now
      • Predictive Modeler

        Jan 2022 - Oct 2023
  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Dooman Akbarian
      Excellence in Graduate Polymer Research Award American Chemical Society May 2019
    • Awarded to Dooman Akbarian
      Valero Research Scholarship College of Engineering, University of Texas at San Antonio Aug 2014