Summary
Brenden Song is a Senior Data Scientist based in Colorado Springs with five years of hands-on experience translating complex, imbalanced datasets into high‑impact business outcomes. He has driven substantial model performance improvements—boosting precision from the teens to as high as 90%—by pioneering cGAN synthetic data generation, extensive SMOTE variants, and cost‑sensitive ensemble strategies. His background blends enterprise AI/ML, time‑series forecasting, NLP pipelines, and real‑time ETL/BI dashboards delivered at scale during a lead data scientist role at Booz Allen that saved $1.25M annually. A former senior military leader, he brings operational rigor, large-team leadership, and mission assurance expertise to data programs, which helps him design resilient, auditable analytics for high‑stakes environments. He pairs advanced technical depth (Databricks, Postgres, LSTM/CNN/RNN, Prophet) with a proven track record of turning complex operational problems into productionized solutions.
5 years of coding experience
8 years of employment as a software developer
B.S. Biochemistry, B.S. Biochemistry at University of California, Davis
Masters of Science Executive Policy Management Policy Management, Masters of Science Executive Policy Management Policy Management at Georgetown University
Environmental Management Environmental Science, Environmental Management Environmental Science at Webster University
Korean, Spanish