As a Data Science Intern, I built practical deep learning solutions that improved both cost and efficiency for field data collection. I designed a deep learning model that uses early user interactions to generate synthetic datasets, helping reduce real-world data collection costs by 22%.
I also built a custom data pipeline with optimized preprocessing logic to streamline model development and delivery. This work reduced data latency and improved development efficiency by 10%, enabling faster iteration and more reliable data flow from ingestion to training.
As a team lead, I headed planning and communication across multi-national teams.
Naol B. 
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