Joe (Jiazhou) Liang
Data Scientist | Master Student @ University of Toronto
University of Toronto Data Driven Decision Making Lab
Resumé
Joe Liang is a data scientist, student researcher , and currently master student in the University of Toronto.
Skill: Specializing in data analytics and machine learning, information retrieval, temporal clustering, and recommender systems. With a solid foundation in statistical analysis and proficiency in Python, SQL, and key data analytics and machine learning libraries, Joe bring a wealth of experience from both academic research and industry.
Education: Currently pursuing Master of Applied Science, with research focus on Temporal Clustering and its applications in sociology at University of Toronto D3M Lab supervised by Prof. Scott Sanner and Prof. Ethan Fosse. Joe graduated with distinction from the University of Waterloo with a Bachelor’s in Mathematics.
Experience: My professional journey includes roles as a Data Analyst at School Education and an Associate Software Engineer at Infosys Canada, where Joe streamlined workflows and developed tailored solutions.
Let’s connect and explore the possibilities together!
Download my resumé as a PDF.
- Machine Learning Algorithms
- Data Science / Analytics
- Cloud based Analysis
Master of Applied Science, 2023 - Present
University of Toronto
Bachalor of Mathematics, 2018 - 2022
University of Waterloo
Experience
- Led large-scale experiments initiatives on student performance within university-level courses, enhancing educational outcomes with the ‘Scholarship of Teaching and Learning’ objective.
- Conducted strategic intervention analysis with concise, visually informative reports to highlight statistically significant correlations hidden within assignments, quizzes, and exam.
- Designed and implemented scalable query applications for data extraction in Microsoft SQL Server and Entity Framework. Monitored database performance to keep workflows running smoothly.
- Completed business, service, and data access layers of the full stack development cycle to create customized solutions for clients using C # and with .Net Framework.
- Analyzed the performance improvement strategies based on the company’s data with attention to detail to improve the efficiency of the workspace and lectures
- Communicated effectively and established trust-based relationships with clients.
- Implemented data processing solution to extract students’ information from relational databases and maintained all datasets have up-to-date versions.
- Improved workflow by creating project-oriented guidelines in analysis.
Education
- Department of Mechanical & Industrial Engineering
- Research Area: Temporal Clustering and Application, Supervised by Professor Scott Sanner and Professor Ethan Fosse
- Related Courses: Introduction to Deep Learning, Learning with Sequences and Graphs, Decision Support System, Creative Application in Natural Language Processing
- GPA 4.0/4.0
- Dual Program in Data Science and Computational Math
- Grade: Upper Year GPA 4.0/4.0 | Graduation with DistinctionGrade:
- Activities and societies: Executive Member of the University of Waterloo Cooking Club, Member of Math Society
- Courses: Computational Inference; Databases Management; Statistical Learning; Applied Linear Models, Data Visualization
Contact Me
- joeliang0520@gmail.com
- 226-978-5379
- Bahen Centre for Information Technology, 40 St George St, Toronto, ON M5S 2E4
- Follow Me
- Youtube