Eliemer Rodriguez is a Computer Engineering professional with nine years of hands-on experience focused on backend development, data science, and big data engineering. He combines practical expertise in Apache Spark and SQL databases with applied deep learning using PyTorch, Keras, and scikit-learn to build scalable data pipelines and predictive models. A University of Puerto Rico–Mayagüez alumnus based in Coamo, Puerto Rico, he aims to transition into leading roles as a Data Scientist or Data Engineer. Eliemer’s background blends systems-level engineering instincts with a strong interest in data visualization, enabling him to turn complex datasets into actionable insights. He is particularly drawn to production-ready solutions that bridge backend services and ML workflows.
9 years of coding experience
Bachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at University of Puerto Rico-Mayaguez
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