Haleh Azizi
Adjunct Professor at Rose State College- Claim this Profile
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English Professional working proficiency
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Persian Native or bilingual proficiency
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Bio
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.
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.
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.
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.
Credentials
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Python Essential Training
LinkedInJan, 2023- Oct, 2024 -
SQL Tips and Tricks for Data Science
LinkedInAug, 2022- Oct, 2024 -
Foundations of Geographic Information Systems (GIS)
LinkedInJun, 2022- Oct, 2024 -
Machine Learning with Data Reduction in Excel, R, and Power BI
LinkedInJun, 2022- Oct, 2024 -
What Is Business Analysis?
LinkedInJun, 2022- Oct, 2024 -
Excel Data Visualization: Designing Custom Visualizations
LinkedInMay, 2022- Oct, 2024 -
Excel Data Analysis: Forecasting
LinkedInFeb, 2022- Oct, 2024 -
Managing Generation Z
LinkedInFeb, 2022- Oct, 2024 -
Machine Learning with Logistic Regression in Excel, R, and Power BI
LinkedInDec, 2021- Oct, 2024 -
Power BI: Integrating AI and Machine Learning
LinkedInDec, 2021- Oct, 2024 -
Power BI Essential Training
LinkedInNov, 2021- Oct, 2024 -
Power BI: Dashboards for Beginners
LinkedInSep, 2021- Oct, 2024 -
Tableau 10 for Data Scientists (2017)
LinkedInSep, 2021- Oct, 2024
Experience
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Rose State College
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United States
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Higher Education
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300 - 400 Employee
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Adjunct Professor
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Apr 2023 - Present
Teaching Computer Science Courses Teaching Computer Science Courses
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Oklahoma Bureau of Narcotics and Dangerous Drugs Control
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United States
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Law Enforcement
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1 - 100 Employee
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Statistical Research Specialist III
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Sep 2021 - Present
Data Analysis and Data Managements Data Analysis and Data Managements
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University of North Dakota
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Higher Education
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700 & Above Employee
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Temporary Research Assistant
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Apr 2021 - Aug 2021
School of Medicine & Health Sciences, - Bioinformatics Data Analysis School of Medicine & Health Sciences, - Bioinformatics Data Analysis
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Redko
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United States
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Information Technology & Services
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1 - 100 Employee
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Data Science Intern
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Jan 2021 - Apr 2021
Developing App with Dialogflow Developing App with Dialogflow
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University of North Dakota
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Higher Education
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700 & Above Employee
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GTA (Grad Teaching Assistant)
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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)
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University of North Dakota
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Higher Education
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700 & Above Employee
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Associate Researcher
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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”.
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MASNA Co
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Tehran, Iran
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Research Analyst II
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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.
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Faculty of Engineering, Mahallat Azad University
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Mahallat County, Markazi Province, Iran
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Adjunct Instructor
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Sep 2009 - Jun 2016
Thought Graduate Courses: Geophysics, Petrophysics; Rock Physics Thought Graduate Courses: Geophysics, Petrophysics; Rock Physics
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Faculty of Engineering, Meymeh Azad University
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Shahin Shahr and Meymeh County, Isfahan Province, Iran
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Adjunct Instructor
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Sep 2009 - Jun 2016
Thought Graduate Courses: Geophysics, Petrophysics; Rock Physics Thought Graduate Courses: Geophysics, Petrophysics; Rock Physics
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Curtin University
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Australia
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Higher Education
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700 & Above Employee
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Associate Researcher
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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.
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Education
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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 -
University of North Dakota
Master of Science - MSc, Master of Science in Computer Science (Data Science)