John Yang Email & Phone Number
Who is John Yang? Overview
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John Yang is listed as System and Machine Learning Engineer at Hifi, a company with 110 employees, based in Calgary, Alberta, Canada. AeroLeads shows a matched LinkedIn profile for John Yang.
John Yang previously worked as Machine Learning Engineer at Hifi and Postdoctoral Data Scientist at University Of Calgary. John Yang holds Master'S Degree, Data Science And Analytics, 4/4 (Unfinished) from University Of Calgary.
Email format at Hifi
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About John Yang
John is a data science professional with PhD. in the energy system. He has 8+ years of professional experience in the areas of deep learning (NLP, Computer Vision, and Time Series), machine learning, data analytics, SQL, python, BI reporting, and oil&gas projects. He has completed dozens of industrial projects, involving data pipeline, machine learning, data analytics, etc. He has rich team working experience in developing ETL software, machine learning packages, optimization packages, and building complex models.Three of his projects for industrial companies or Universities on GitHub with open access are presented as below:(1) Developed software to automate the ETL data pipelines:https://github.com/yangzehao/ETL_GPA_System_Data_Analysis(2) Built the pre-trained Xception convolutional neural network (packages: TensorFlow, Scikit-learn, NumPy, Matplotlib, OpenCV, etc.) to analyze oil leakage in the ocean:https://github.com/yangzehao/oil_seepage_detection_cnn(3) Analyzed revenue leakage and presented data analytics for Telus Telecommunication (packages: Pandas, NumPy, Matplotlib, etc):https://github.com/yangzehao/Revenue_Leak_Analysis_for_TelusJohn has one national software patent and three national engineering patents.John is very experienced in applying deep learning architecture in computer vision. He developed a deep learning package to improve the accuracy of the fish image classification from 90% to 99% in the Kaggle Challenge. He also developed a transfer learning package to improve the accuracy of the oil leak image segmentation problem from 86% to 98%.John has been an author contributing to over 20 high-level academic papers in top journals involving machine learning, deep learning, global optimization, solvent-assisted thermal recovery, and SAGD. See: https://scholar.google.com/citations?user=jT16uOp2R3sC&hl=enAs for extracurricular activities, John likes going hiking and playing table tennis. He is a very fast learner and would like to work collaboratively with others to learn and develop.His Motto: One person you can do so little, and together we can do so much!
John Yang's current company
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John Yang work experience
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Machine Learning Engineer
CurrentMy primary roles are software algorithm development, including pipeline event detection, ML classification, runtime optimization, ML model building, and various other software tool development and deployment.
Postdoctoral Data Scientist
Developed a convolutional neural network package with GPU acceleration to analyze oil seepage problems through satellite images. It involves the analysis of over 200 million image data through deep learning. Developed a deep learning package for analyzing the gas/oil production in shale reservoir. It involves designing a physical model (experiments).
Research Assistant
Developed an effective global optimization and deep learning package using Python to analyze complex shale oil/gas models and derived analytical solutions of several coupled mathematical models (ODE and PDE systems).Developed an ETL automation pipeline software with a national patent.
Data Scientist/Analyst
Developed deep learning optimization packages using Python and Matlab to achieve profitable operation in field for the development of shale gas and oilSQL was used to extract, transform and load data from PI system to OracleConstructed data pipeline through Python to make analytics models accessible for business users
Colleagues at Hifi
Other employees you can reach at hifieng.com. View company contacts for 110 employees →
Jacqueline Nedic
Colleague at HifiCanada, Canada
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Fadwa Dgheim
Colleague at HifiBeirut, Beirut Governorate, Lebanon, Lebanon
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William Hull
Colleague at HifiRed Deer County, Alberta, Canada, Canada
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JP
Jawoko Paul
Colleague at HifiMakindye, Central Region, Uganda, Uganda
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Tasnim Hossain
Colleague at HifiVictoria, British Columbia, Canada, Canada
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George Villagomez
Colleague at HifiSealy, Texas, United States, United States
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ER
Eldon Rawleigh
Colleague at HifiCalgary, Alberta, Canada, Canada
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Thakor Hitesh
Colleague at HifiAhmedabad, Gujarat, India, India
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Ian Washington
Colleague at HifiCalgary, Alberta, Canada, Canada
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Ranai Gosine
Colleague at HifiCalgary, Alberta, Canada, Canada
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John Yang education
Master'S Degree, Data Science And Analytics, 4/4 (Unfinished)
Doctor Of Philosophy - Phd, Chemical And Petroleum Engineering, 3.91
Bachelor'S Degree, Petroleum Engineering, 3.94
Frequently asked questions about John Yang
Quick answers generated from the profile data available on this page.
What company does John Yang work for?
John Yang works for Hifi.
What is John Yang's role at Hifi?
John Yang is listed as System and Machine Learning Engineer at Hifi.
Where is John Yang based?
John Yang is based in Calgary, Alberta, Canada while working with Hifi.
What companies has John Yang worked for?
John Yang has worked for Hifi, University Of Calgary, and Petrochina.
Who are John Yang's colleagues at Hifi?
John Yang's colleagues at Hifi include Jacqueline Nedic, Fadwa Dgheim, William Hull, Jawoko Paul, and Tasnim Hossain.
How can I contact John Yang?
You can use AeroLeads to view verified contact signals for John Yang at Hifi, including work email, phone, and LinkedIn data when available.
What schools did John Yang attend?
John Yang holds Master'S Degree, Data Science And Analytics, 4/4 (Unfinished) from University Of Calgary.
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