I’m a data scientist with experience in building recommendation systems and working on numerical weather and chemical models.
My journey started with a passion for solving complex, real-world problems using data, and it has grown into a career where I specialize in scalable and impactful data-driven solutions.
I specialize in creating intelligent systems that bridge the gap between complex algorithms and user needs. Whether it’s developing a game recommendation system using EASE or running large-scale weather models like WRF and CMAQ,
I focus on designing systems that are efficient, robust, and meaningful. My technical toolkit includes Python, PyTorch, and Git.
I also frequently share my insights and learnings on my blog, diving into topics such as machine learning, data engineering, recommendation systems, and environmental data. I believe in the power of data to not only understand the world but to transform it.
Check out my blog: 🌐 https://cbrew.tistory.com/
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