My story starts in white lab coats and microscopes. I was an epidemiologist and Medical Laboratory Scientist, and even led a laboratory team, diving deep into embryology and data patterns in healthcare. But somewhere between analyzing clinical data and optimizing workflows, I fell head over heels for something unexpected: coding. There's just something magical about turning messy data into beautiful insights with a few lines of Python — and I was hooked.
Fast forward to today: I've got my Master of Data Science from Monash University (High Distinction, thank you very much!) and I'm ready to swap my lab coat for a keyboard full-time. I live for crafting stunning data visualizations that actually tell a story, experimenting with machine learning APIs, and solving tricky problems that make you go 'aha!' when you finally crack them. When I'm not hunting for my next data science role, you'll find me grinding away on HackerRank, or exploring the latest courses on Pluralsight orCoursera — because learning never stops being fun.
Led a medical lab team of five, mastering quality control, statistical analysis, and workflow optimization. Now I combine that clinical rigor with Python, R, SQL, and machine learning to turn complex healthcare (and beyond!) data into meaningful insights.
I don't just make charts — I craft visual stories. Whether it's R, Python, or React dashboards, I love creating beautiful, innovative visualizations that make patterns leap off the screen and reveal insights you didn't know were hiding.
Built anti-cyberbullying platforms with React, FastAPI, and AWS Lambda. Deployed MySQL databases on AWS RDS, designed ETL pipelines, and created backend APIs that actually work. I'm comfortable across the stack — from frontend dashboards to cloud infrastructure.
Whether it's mastering new ML models, tackling algorithms on HackerRank, or exploring cutting-edge tech on Pluralsight and Codecademy, I'm perpetually curious. I thrive in collaborative teams where ideas flow and challenges push everyone to grow.
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Turning raw, messy data into insights that actually matter and help solve real-world problems
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Creating data visualizations so beautiful and clear that even non-technical folks have those lightbulb moments
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Experimenting with ML APIs, NLP models, and finding creative ways to apply AI to unexpected challenges
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Working with passionate teams where collaboration sparks innovation and everyone's learning from each other
I'm actively seeking new opportunities where I can bring my data science skills, healthcare background, and coding passion to meaningful projects. Whether it's crafting beautiful dashboards, diving into ML challenges, or solving complex data problems — I'm ready to contribute and grow with an awesome team!
