Remote: Prefer in-person, but happy to work remotely.
Willing to relocate: Yes, within APAC region.
Technologies: Mostly Python (SciPy stack for data science & scikit-learn for machine learning) and R for data science; experience with declarative languages like Haskell, Prolog, and SQL. Experience with Go, Java, some Rust and C++. Comfortable in a UNIX environment/shell and with writing LaTeX.
TL;DR: 1.5 years of experience in consulting/financial services and graduating from postgrad computer science degree in November. Seeking roles that will stretch my technical skills to work on interesting, meaningful problems (e.g. research, finance, data science, etc.).
Hi there!—I'm Jack. My academic background is in computer science (currently writing my minor thesis in computational modelling & simulation; set to graduate in November) and I currently work for a Big 4 consulting & financial services company (~1.5 years of experience). As an intern, I helped save my team ~4 weeks of manual work because I insisted on creating a parser for messy log files generated by a client's old COBOL scripts. When I returned as a full-time employee, I spotted an opportunity to automate the analysis of credit risk impacts, and used the software to help a large telecommunications company with 5M+ customers. I love puzzles, and my specialty is using statistical and computational techniques to solve them. As I approach the end of my postgrad degree, I'm in search of technical opportunities to work on interesting problems alongside inquisitive folks, preferably in Melbourne/Australia. Please feel free to reach out!
Remote: Prefer in-person, but happy to work remotely.
Willing to relocate: Yes, within APAC region.
Technologies: Mostly Python (SciPy stack for data science & scikit-learn for machine learning) and R for data science; experience with declarative languages like Haskell, Prolog, and SQL. Experience with Go, Java, some Rust and C++. Comfortable in a UNIX environment/shell and with writing LaTeX.
Résumé/CV: https://blademaw.github.io/features/files/cv.pdf
Email: Please see top of CV (link above).
TL;DR: 1.5 years of experience in consulting/financial services and graduating from postgrad computer science degree in November. Seeking roles that will stretch my technical skills to work on interesting, meaningful problems (e.g. research, finance, data science, etc.).
Hi there!—I'm Jack. My academic background is in computer science (currently writing my minor thesis in computational modelling & simulation; set to graduate in November) and I currently work for a Big 4 consulting & financial services company (~1.5 years of experience). As an intern, I helped save my team ~4 weeks of manual work because I insisted on creating a parser for messy log files generated by a client's old COBOL scripts. When I returned as a full-time employee, I spotted an opportunity to automate the analysis of credit risk impacts, and used the software to help a large telecommunications company with 5M+ customers. I love puzzles, and my specialty is using statistical and computational techniques to solve them. As I approach the end of my postgrad degree, I'm in search of technical opportunities to work on interesting problems alongside inquisitive folks, preferably in Melbourne/Australia. Please feel free to reach out!