Jason H.

Jason H.

Machine Learning Engineer @ Deckard Technologies

About Jason H.

Jason H. is a Machine Learning Engineer currently employed at DECKARD Technologies. He has a strong educational background in Mathematics, Statistics, and Economics, along with extensive experience in data science and machine learning roles across various companies.

Current Role at DECKARD Technologies

Jason H. has been employed as a Machine Learning Engineer at DECKARD Technologies since 2024. In this role, he applies his expertise in machine learning to develop and implement algorithms and models that enhance the company's technological capabilities. His work involves utilizing various components of the AWS product suite and integrating machine learning solutions into existing systems.

Previous Experience in Data Science and Analysis

Prior to his current position, Jason H. worked at Dabble as a Data Scientist from 2020 to 2023. He also held the position of Analyst at BMF Wealth from 2017 to 2018 and served as a Product Control Analyst at Optiver Asia Pacific from 2018 to 2019. His diverse experience in data science and analysis has equipped him with a strong foundation in data-driven decision-making.

Educational Background in Data Science and Economics

Jason H. holds a Master of Data Science from UNSW, where he studied from 2019 to 2021. He also completed a Bachelor of Commerce (Honours) in Economics at Deakin University in 2016. Additionally, he earned a Bachelor of Commerce in Economics and Management from Monash University from 2013 to 2015. His educational background provides him with a solid understanding of both quantitative and qualitative analysis.

Technical Skills and Proficiencies

Jason H. possesses a range of technical skills relevant to his field. He is proficient in less common programming languages such as Rust and shell/bash. He is experienced with the Docker ecosystem and works comfortably with CI/CD tools, including CircleCI and GitHub Actions. His expertise extends to ETL/data engineering tools like Airflow and DBT, which he utilizes in his daily tasks.

Internship and Early Career Experience

Jason H. began his career with an internship at the Centre of Policy Studies from 2016 to 2017. This early experience laid the groundwork for his subsequent roles in data analysis and machine learning. His time at the Centre of Policy Studies provided him with insights into policy analysis and research methodologies.

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