Kimberly Jimenez
Data Scientist @Quadient
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WORK HISTORY
Data Scientist @Quadient
Architected automated data pipelines in Databricks processing 100K+ daily transactions, reducing manual engineering workflows by 35% and enabling real-time SaaS revenue analytics-Designed and deployed a data lakehouse architecture on Databricks, improving data accessibility for product and engineering teams and increasing cross-functional data utilization by 30% in 6 months-Built predictive ARR forecasting models using Python and ARIMA time series analysis, improving forecast accuracy by 22% across a $50M+ SaaS revenue portfolio-Deployed anomaly detection algorithms to identify GTM pipeline risk signals two weeks ahead of reporting cycles, preventing $500K+ in revenue leakage and alerting leadership in real time-Developed executive Tableau dashboards integrating data from 5+ internal systems, improving cross-functional alignment and accelerating data-driven product and GTM strategy by 40%.
EDUCATION
Capella University
Bachelor's degree, Mathematics and Computer Science
ABOUT KIMBERLY JIMENEZ
Data Scientist with 5+ years building production data systems that drive real business outcomes — not just dashboards that look good in presentations.At Quadient, I architected a data lakehouse that increased data utilization by 30% in 6 months, built anomaly detection models that caught $500K+ in pipeline risk before it became a real problem, and developed predictive ARR forecasting models improving accuracy by 22% across a $50M+ SaaS revenue portfolio. Before that, at Jamf, a publicly traded SaaS company, I built automated data-quality systems spanning 500K+ CRM records and developed segmentation models that directly improved enterprise account growth.My work sits at the intersection of data science and data engineering. I\'m comfortable building the pipeline, modeling the data on top of it, and translating the output into decisions that have real financial consequences. I work across the full modern data stack — Databricks, Snowflake, AWS, Python, Spark, and SQL and hold a Databricks Certified Data Engineer Associate certification.
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