Summary
Jennifer Podracky is a data scientist with 10 years of experience building production ML and analytics solutions that bridge technical teams and business stakeholders. She leverages a strong engineering foundation from Duke and an MIDS from UC Berkeley to design data-driven workflows that cut manual effort—evidenced by projects that reduced monitoring time by 50%, increased review coverage 100x, and slashed release testing time by 75%. Her background spans analytics engineering, program management, and product-facing roles, enabling her to define data contracts, automate quality checks, and operationalize models across large-scale telematics and healthcare contexts. A certified Scrum Master, she has repeatedly translated ambiguous requirements into robust pipelines and autonomous analysis suites for thousands of metrics. Based in Milton, MA, she pairs hands-on Python and ETL development with client-facing technical leadership, often surfacing non-obvious data quality issues (e.g., truncated trip detection) that materially improve downstream model performance.
10 years of coding experience
9 years of employment as a software developer
Master of Information in Data Science (MIDS), Master of Information in Data Science (MIDS) at University of California, Berkeley
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Duke University