Chuneeta Nunhokee is a research associate and radio astronomy specialist with 11 years of experience combining radio interferometry, large-scale image processing and statistical machine learning to probe the early Universe. She has led Python pipeline development for anomaly detection and instrument characterization on multi-hundred-gigabyte datasets while collaborating internationally on constraints for high-redshift galaxies. Her background spans hands-on observatory work, cloud/Google API-driven analytics, and applying ML/dimensionality reduction techniques to both astronomical and medical data. A published contributor to leading journals, she pairs deep technical skill with teaching and mentoring experience across academic levels. Currently based in Western Australia and pursuing a JD to broaden her perspective on real-world challenges, she balances rigorous science with endurance hobbies like hiking and swimming.
11 years of coding experience
4 years of employment as a software developer
Doctor of Law - JD, Law, Doctor of Law - JD, Law at The University of Western Australia
Bachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at University of Mauritius
Doctor of Philosophy - PhD, Physics (Astronomy), Doctor of Philosophy - PhD, Physics (Astronomy) at Rhodes University
English, French, Hindi, creoles and pidgins, french-based
Contributions:61 commits, 3 PRs, 225 pushes in 4 months
analyzingperfpythoncalibrationmwa
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