Joshua Ting
Manager, Climate Strategy And Reporting
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJoshua Ting is a climate and sustainability tech leader with eight years of experience applying data science and engineering to decarbonization and energy efficiency programs. Currently Manager of Climate Strategy and Reporting at BioMed Realty, he has built end-to-end data products and analytics teams that scaled ESG reporting, automated GHG inventories, and helped his prior employer secure acquisition by demonstrating technology-led capabilities. His background blends an MS in Data Science with a BS in Mechanical Engineering and hands-on wins—from cutting brewery line costs with sensor analytics to deploying smart thermostats that reduced residential heating by ~30%. He is skilled at translating policy and regulatory complexity into products, having developed a classification model that turned minutes of manual mandate research into seconds and unlocked new revenue streams. Based in Boston, he combines technical leadership with productization experience to operationalize climate commitments for Fortune 500 clients.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at The George Washington UniversityHigh School Diploma, High School Diploma at Northfield Mount HermonBachelor of Science - BS Mechanical Engineering, Bachelor of Science - BS Mechanical Engineering at Boston University
Bahasa Malaysia, Spanish, Chinese, English
Github Skills (30)
cnn-keras9
transfer-learning8
satellite-imagery8
openai-gym7
mahjong7
semantic-segmentation7
flask7
stream6
pac6
webapp6
gameplay6
deep-reinforcement-learning5
dqn5
artificial-intelligence4
capstone4
Programming languages (3)
Github contributions (5)
justjoshtings/satellite_image_segmentation
Dec 2021 - Apr 2022
Experimented with a U-Net variant to perform pixel wise multi-class classification to segment high resolution satellite imagery into land use types with potential applications in deforestation and flood monitoring. Developed with TensorFlow framework.
Contributions:11 commits, 9 pushes, 1 branch in 4 months
cnn-kerasresnet-50satellite-imagerysemantic-segmentationtensorflow2
justjoshtings/Final-Project-Group4
Mar 2022 - May 2022
Woby's Spooky Tales: Human-machine interactive storytelling engine fine tuned for scary/chilling/horror stories. Trained with GPT architecture variants on custom corpus for the downstream task of text generation. Integrated final model into a chatbot front end for human-machine interface.
Contributions:4 releases, 83 PRs, 60 pushes in 1 month
tunedfront-endnatural-language-processingintegratedcorpus
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