Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
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Jonathan Su'a

Macquarie Park

Summary

Ambitious and highly motivated Bachelor of Mathematical Sciences undergraduate with a strong academic foundation in Statistics and Data Science (WAM: 84.86) and hands-on experience working with large datasets to build predictive models. Proficient in Python, SQL, and advanced machine learning techniques, including XGBoost, with a track record of implementing financial trading models such as mean-reversion strategies and yield optimisation.

Demonstrated ability to learn and adapt quickly, as evidenced by achieving a 1900 Elo chess rating in under a year and excelling in the development of complex, data-driven solutions. Passionate about leveraging data analytics and machine learning to solve real-world problems.

Overview

Work History

Tutor/Teacher

Intuition Education
  • Taught advanced mathematics & HSC Physics including calculus and statistics, to high school and university-level students.
  • Enhanced students’ understanding of mathematical principles and their real-world applications.
  • Assessed student learning needs and provided relevant instruction to close knowledge gaps.
  • Promoted critical thinking skills through engaging activities and consistent reinforcement of complex concepts.

Quantitative Analyst

Self-employeed
  • Designed and implemented financial trading models utilising linear regression and multiple regression techniques for predictive modelling and decision-making.
  • Optimised predictive modelling for monthly asset yield using XGBoost, leveraging its ability to handle large datasets and model complex relationships efficiently.
  • Analysed and processed large-scale datasets to optimise asset price predictions.
  • Developed a mean-reversion trading strategy for a variety of asset classes using statistical measures like rolling means and standard deviation thresholds.
  • Integrated Python based tools for data extraction, analysis, and visualisation.

Education

Bachelor of Science - Statistics And Data Science

University of Technology Sydney
Sydney, NSW
07-2026

Skills

  • Programming Languages: Python, SQL
  • Machine Learning: Linear Regression, Multiple Regression, Time-Series Analysis, and Model Validation
  • Data Analysis: Handling large datasets, statistical modelling, and visualisation
  • Rapid Learning: Proven ability to quickly learn and apply complex concepts, evidenced by achieving a 1900 Elo chess rating in less than a year and excelling in data science and financial modelling
  • Analytical Thinking: Strong problem-solving and decision-making skills, demonstrated in developing financial trading models and competitive chess strategies

Accomplishments

Leadership and Achievements

President, UTS Chess Club | 2023/2024

  • Led club operations, organized inter-university tournaments, and expanded membership by 40%.
  • Coordinated and coached chess strategy sessions for beginners and advanced players.

Head Executive, Macquarie University Chess Club | 2023/2024

  • Reinvigorated club activities by organising chess tournaments events and workshops, significantly boosting member engagement.
  • Facilitated collaboration between university chess clubs, promoting inter-university chess events.

Winner, Winter Classical Chess Tournament | Norths Leagues Club, 2024

  • Achieved a 1900 Elo rating in less than a year, qualifying for the Australian Chess Championships, with a goal of obtaining a Chess Master title within a year of competitive play.
  • Demonstrated exceptional analytical skills, strategic thinking, and rapid learning ability to excel at a national level.

Timeline

Tutor/Teacher

Intuition Education

Quantitative Analyst

Self-employeed

Bachelor of Science - Statistics And Data Science

University of Technology Sydney
Jonathan Su'a