Haleh Azizi

Adjunct Professor at Rose State College
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Contact Information
us****@****om
(386) 825-5501
Location
Edmond, Oklahoma, United States, US
Languages
  • English Professional working proficiency
  • Persian Native or bilingual proficiency

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Angie M. Woodrow, MPA

I had the privilege of working with Haleh Azizi in her role as Statistical Research Specialist III at the Oklahoma Bureau of Narcotics. Haleh consistently impressed me with her knowledge and skills. She is extremely detail-oriented and efficient. She was always able to find innovative solutions to complex technical problems, demonstrating a strong ability to work well under pressure and handle multiple projects. Haleh was also able to effectively communicate technical information to non-technical stakeholders, making her valuable asset to any team. I have no doubt that Haleh will continue to excel in the future and highly recommend her for any position or to any potential employer.

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Credentials

  • Python Essential Training
    LinkedIn
    Jan, 2023
    - Oct, 2024
  • SQL Tips and Tricks for Data Science
    LinkedIn
    Aug, 2022
    - Oct, 2024
  • Foundations of Geographic Information Systems (GIS)
    LinkedIn
    Jun, 2022
    - Oct, 2024
  • Machine Learning with Data Reduction in Excel, R, and Power BI
    LinkedIn
    Jun, 2022
    - Oct, 2024
  • What Is Business Analysis?
    LinkedIn
    Jun, 2022
    - Oct, 2024
  • Excel Data Visualization: Designing Custom Visualizations
    LinkedIn
    May, 2022
    - Oct, 2024
  • Excel Data Analysis: Forecasting
    LinkedIn
    Feb, 2022
    - Oct, 2024
  • Managing Generation Z
    LinkedIn
    Feb, 2022
    - Oct, 2024
  • Machine Learning with Logistic Regression in Excel, R, and Power BI
    LinkedIn
    Dec, 2021
    - Oct, 2024
  • Power BI: Integrating AI and Machine Learning
    LinkedIn
    Dec, 2021
    - Oct, 2024
  • Power BI Essential Training
    LinkedIn
    Nov, 2021
    - Oct, 2024
  • Power BI: Dashboards for Beginners
    LinkedIn
    Sep, 2021
    - Oct, 2024
  • Tableau 10 for Data Scientists (2017)
    LinkedIn
    Sep, 2021
    - Oct, 2024

Experience

    • United States
    • Higher Education
    • 300 - 400 Employee
    • Adjunct Professor
      • Apr 2023 - Present

      Teaching Computer Science Courses Teaching Computer Science Courses

    • United States
    • Law Enforcement
    • 1 - 100 Employee
    • Statistical Research Specialist III
      • Sep 2021 - Present

      Data Analysis and Data Managements Data Analysis and Data Managements

    • Higher Education
    • 700 & Above Employee
    • Temporary Research Assistant
      • Apr 2021 - Aug 2021

      School of Medicine & Health Sciences, - Bioinformatics Data Analysis School of Medicine & Health Sciences, - Bioinformatics Data Analysis

    • United States
    • Information Technology & Services
    • 1 - 100 Employee
    • Data Science Intern
      • Jan 2021 - Apr 2021

      Developing App with Dialogflow Developing App with Dialogflow

    • Higher Education
    • 700 & Above Employee
    • GTA (Grad Teaching Assistant)
      • Aug 2019 - Dec 2020

      School of Electrical Engineering & Computer Science, Computer Science I - LAB (Python ) Computer Science II - LAB (Python LAB) School of Electrical Engineering & Computer Science, Computer Science I - LAB (Python ) Computer Science II - LAB (Python LAB)

    • Higher Education
    • 700 & Above Employee
    • Associate Researcher
      • Oct 2016 - Jun 2017

      Department of Petroleum Engineering, University of North Dakota, Grand Forks, ND • Co-investigator and GUI developer of Venture Grant Project ($ 100,000.00) entitled “An Integrated Software Package for Data Processing; Modelling and Simulation of Unconventional Reservoirs”. Department of Petroleum Engineering, University of North Dakota, Grand Forks, ND • Co-investigator and GUI developer of Venture Grant Project ($ 100,000.00) entitled “An Integrated Software Package for Data Processing; Modelling and Simulation of Unconventional Reservoirs”.

  • MASNA Co
    • Tehran, Iran
    • Research Analyst II
      • Aug 2009 - Jul 2016

      Selected Projects: • Developed Wavelet Neural Network as a local-based estimator to model unconventional heterogeneous reservoirs. • Developed an automated machine including PCA, SVM, and image processing tools to extract useful features from images of crashed rock materials to classify their cargo based on mineral grade. Selected Projects: • Developed Wavelet Neural Network as a local-based estimator to model unconventional heterogeneous reservoirs. • Developed an automated machine including PCA, SVM, and image processing tools to extract useful features from images of crashed rock materials to classify their cargo based on mineral grade.

  • Faculty of Engineering, Mahallat Azad University
    • Mahallat County, Markazi Province, Iran
    • Adjunct Instructor
      • Sep 2009 - Jun 2016

      Thought Graduate Courses: Geophysics, Petrophysics; Rock Physics Thought Graduate Courses: Geophysics, Petrophysics; Rock Physics

  • Faculty of Engineering, Meymeh Azad University
    • Shahin Shahr and Meymeh County, Isfahan Province, Iran
    • Adjunct Instructor
      • Sep 2009 - Jun 2016

      Thought Graduate Courses: Geophysics, Petrophysics; Rock Physics Thought Graduate Courses: Geophysics, Petrophysics; Rock Physics

    • Australia
    • Higher Education
    • 700 & Above Employee
    • Associate Researcher
      • Jul 2008 - Jul 2009

      Department of Petroleum Engineering, • Implemented a Wavelet-Pattern-Data Fusion-based approach for Break Out Identification from Well Logs. Department of Petroleum Engineering, • Implemented a Wavelet-Pattern-Data Fusion-based approach for Break Out Identification from Well Logs.

Education

  • Shahrood University of Technology
    Bachelor of Engineering - BE, Mining and Mineral Engineering
  • Islamic Azad University,Science And Research Branch
    Doctor of Philosophy (Ph.D.), Geophysics, Seismic
    2005 - 2010
  • University of North Dakota
    Master of Science - MSc, Master of Science in Computer Science (Data Science)
    2018 - 2021

Community

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