EDUCATION

University of Western Ontario London, Ontario

Master of Science in Computer Science September 2022

Schulich School of Business, York University Toronto, Ontario

Master of Management of Artificial Intelligence September 2020 — December 2021

University of Toronto Toronto, Ontario

Honours Bachelors of Science September 2016 — June 2020

• Mathematical Applications in Economics & Finance Specialist, Statistics Major, Economics Minor

  
  

  SKILLS

  

• Proficient in R, SAS, SQL, Python, Flask, React, Tableau and Mandarin

• https://github.com/shaoshizhang

  
  

  EXPERIENCE

  

  Deloitte Toronto, Ontario

  Artificial Intelligence Analytics Consultant June 2021 — December 2021

• Create cloud-based solution to standardize forms in different formats with AWS Textract and Comprehend Services.

• Build DynamoDB database to automatically save the results directly to cloud for further queries and operations.

• Recognize and extract text from forms and handwritings, and leverage AWS Textract to detect subsections in forms.

• Identify entities in the extractions and cluster extractions to generate tags for forms.

• Use Flask to build API and develop front-end webpage with React.

  
  

  Lyndex Tech Toronto, Ontario

  Data Analyst September 2019 — December 2019

• Maintained and updated entire dataset of new start-up companies situated in Canada and China.

• Applied difference regression and financial models in R to make predictions and evaluations according to client’s requirement.

  
  

  PROJECTS

  

  ML Solution to the Impact of COVID-19 on New York City Bike Sharing Program March 2021

• Performed data cleaning & exploratory data analysis to find potential problems or patterns in Python and Tableau.

• Accessed the impact of COVID-19 on number of bike rides and trip durations by using Supervised Learning to make predictions, RMSE, correlation matrix and feature importance table.

• Conducted Unsupervised Learning through k-means clustering, hierarchy clustering, single and complete linkage to show the change of preferences on station sites.

• Provided insights and recommendations plans in terms of Cost-Benefit Analysis, bike availability, distributions of stations and promotion plans as AI Implementation.

  
  

  Deep Learning Model Training and Hyperparameter Tuning December 2020

• Learnt Keras Deep Learning models with Scikit-learn and Tensorflow and label Mnist_784 dataset in a CNN with 93% accuracy.

• Used Grid Search method to find the optimal hyperparameters of Adam, Nadam and Adadelta. Tuned Dropout rate to gain better accuracy. The best model was correct at 96% of times.

  
  

  Awards and certifications

  

• Louis Savlov (UC ’37) Scholarship in Science & Humanities | 2019

• Schulich Artificial Intelligence Entrance Award ($10000) |2020

• SAS Base & Advanced Certification | 2018

• MOS 77-727 Excel Core Exam | 2019

• Financial Markets via Coursera | 2019‌

• AZ-900 Microsoft Azure Fundamentals | 2021