Jordyn Leonauskas is a Data & Analytics Consultant and Python-focused engineer who combines three years of hands-on experience building ML-driven products, MLOps pipelines, and data ingestion systems across GCP and Azure. She has led development of AI-enhanced analytics and education tooling—integrating OpenAI and NLP APIs—and drove a Vertex AI MLOps pilot that improved classification accuracy and market visibility from single digits to 80%+ accuracy. Comfortable from data engineering to production deployment, she has added multiple external data sources to enterprise BigQuery and automated test-data and pipeline workflows for educator and marketing use cases. With a background that spans software engineering, advanced mathematics, management, theatre and music, she brings an uncommon blend of creative communication and rigorous logic to cross-functional teams. Outside work she practices piano and yoga, a reminder that her problem-solving is as practiced as her performance.
3 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Wisconsin-La Crosse
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