Abstract

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

Mathematics

• 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)