Rashmika Nawaratne
Principal Data Scientist
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolRashmika Nawaratne is a Principal Data Scientist based in Melbourne with 12 years of experience turning complex data and AI ideas into production-grade solutions that drive commercial outcomes. She has led large-scale inventory, forecasting and optimisation programs across 1700+ stores and delivered LLM-based agentic solutions and data warehouse platforms that enabled end-to-end visibility and strategic planning. Equally comfortable setting technical roadmaps and being hands-on, she builds guardrails, standards and learning programs to scale data science capability across organizations. Her background blends academic rigour (PhD in AI & Data Science) with industry delivery, including co-investigator work on an AU$1.8m healthcare AI grant and applied ML in energy and retail. Known for “teaching computers to self-learn,” she champions trust, safety and pragmatic productisation in AI.
12 years of coding experience
11 years of employment as a software developer
Honors Degree of Bachelor of the Science of Engineering Computer Science & Engineering, Honors Degree of Bachelor of the Science of Engineering Computer Science & Engineering at University of MoratuwaDoctor of Philosophy (PhD) Artificial Intelligence & Data Science, Doctor of Philosophy (PhD) Artificial Intelligence & Data Science at La Trobe UniversityG.C.E. Advanced Level Mathematics and Physical Sciences, G.C.E. Advanced Level Mathematics and Physical Sciences at Royal College Colombo
Stackoverflow
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Github Skills (51)
python9
machine-learning9
deep-learning9
boilerplate8
django8
celery8
tensorflow8
pytorch8
heroku8
neural-network8
data-science8
ionic-native7
cookiecutter7
deep-neural-networks7
transform7
Programming languages (5)
Github contributions (5)
razmik/actigraph-accelerometer-project
Jun 2017 - Oct 2020
Contributions:71 commits, 35 pushes, 1 branch in 3 years 5 months
razmik/self-learning-algorithm
Jun 2019 - Oct 2019
Suite of self-learning algorithms.
Contributions:5 commits, 2 PRs, 3 pushes in 4 months
suitemachine-learninglearning-algorithmsself-learning
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