I’m Maram Alhin, an AI integration-focused data scientist with about 3 years of experience across machine learning and back-end development. I enjoy turning messy real-world problems into practical models—especially where AI can improve systems in areas like energy, healthcare, and digital transformation.
I’ve built and benchmarked machine learning solutions (including CNN-based image classification), worked on user-facing assistants using Amazon Lex, and developed back-end features with Flask and Python. I currently work on AI optimization for hydrogen refueling infrastructure, and I’m also involved in EV infrastructure analytics using clustering models. I like collaborating, writing clear research, and continuously improving deployed AI through strong data practices and thoughtful model evaluation.
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