About
Turning data into actionable insights is my passion. At Grab, I work on data science projects that optimize ride-hailing and delivery services. My role involves building predictive models, analyzing user behavior, and experimenting with new algorithms. Python and SQL are my daily tools, but I also enjoy exploring visualization platforms to communicate findings. I thrive in fast-paced environments where data drives decisions. Outside work, Iām active in data science communities, often sharing my projects on GitHub. I also love yoga, which keeps me balanced. My goal is to use data to create seamless, user-friendly experiences.
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