Elizabeth's World  // todo: make it better


A technical summary. For more information on academics, industry experience, projects, blah blah, check out the sidebar.

Software Engineering

  • Good foundations in programming concepts and software design
  • Received As for data structures and object-oriented programming
  • Working experience:
    • Developing on Linux and Windows systems
    • Competent in Python 3
    • C# and .NET Core
    • JavaScript, React, TypeScript + Angular
    • Git
    • Jira + Confluence + Bitbucket
    • Azure DevOps
    • Docker
    • PostgresSQL, MSSQL
    • BigQuery SQL, GCP and dbt
    • Airflow
  • Other languages I have learnt before but have not used in forever: Java, C, C++, MATLAB, R
  • Worked with databases up to 2TB and able to optimize query plans and indices in PostgreSQL
  • Basic knowledge in AWS and Microsoft Azure
  • Basic knowledge in Solidity


  • Good general understanding of the various mathematical fields: linear algebra, calculus, statistics, and discrete mathematics
  • Specialised in abstract algebra and its applications
  • Received As for high-level modules: real analysis, topology, number theory, ordinary differential equations, and algorithms
  • Received A+s for coding theory, cryptography, and honours thesis

Statistics and Data Science

  • Intermediate knowledge in numpy, pandas, matplotlib, and scikit-learn
  • Basic knowledge in regression (linear, nonlinear, and nonparametric) and data mining techniques in R
  • Basic knowledge in time series analysis in R
  • Some experience with spaCy and gensim (nlp)
  • Some experience with OpenCV (3d computer vision)