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John Yang Email & Phone Number

System and Machine Learning Engineer at Hifi
Location: Calgary, Alberta, Canada 5 work roles 3 schools
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Current company
Role
System and Machine Learning Engineer
Location
Calgary, Alberta, Canada
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Who is John Yang? Overview

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Quick answer

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.

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Hifi

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Profile bio

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!

Current workplace

John Yang's current company

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Hifi
Hifi
System and Machine Learning Engineer
Calgary, AB, CA
Website
Employees
110
AeroLeads page
5 roles

John Yang work experience

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System And Machine Learning Engineer

Calgary, AB, CA

Machine Learning Engineer

Current

Calgary, Alberta, Canada

My 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.

Oct 2022 - Present

Postdoctoral Data Scientist

Calgary, Alberta, Canada

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).

Sep 2020 - Oct 2022

Research Assistant

Calgary, Alberta, Canada

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.

Jan 2017 - Aug 2020

Data Scientist/Analyst

China

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

Jan 2013 - Dec 2016
Team & coworkers

Colleagues at Hifi

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3 education records

John Yang education

Doctor Of Philosophy - Phd, Chemical And Petroleum Engineering, 3.91

Developed an effective global optimization and deep learning package using python to analyze complex shale oil/gas models and derived.

FAQ

Frequently asked questions about John Yang

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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?

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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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