Brenden Song
Colorado Springs, Colorado, United States
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
Github Skills (4)
threejs5
webgl3
data-visualization2
ui-components2
Programming languages (1)
Github contributions (5)
bsong75/brendensong.github.io
Nov 2020 - Jan 2023
Contributions:120 commits, 144 pushes, 2 branches in 2 years 2 months
bsong75/brendensong-portfolio
Dec 2020 - May 2025
Contributions:17 pushes, 1 branch in 4 years 6 months
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