Michael Golden

About Michael Golden

I sit at the intersection of two worlds most people keep separate: connected vehicle…

Experience

1. Data Scientist

   Grant Thornton (US)

   Apr 2025 — Present · Atlanta, GA, US

   Built and productionized forecasting models (Python, scikit-learn) for financial/risk metrics, improving MAPE by 22% and surfacing early warning signals for executive action.• Engineered ETL pipelines (Python + SQL) consolidating ERP/CRM/ticketing data; cut data prep time 35% and improved freshness SLAs.• Implemented anomaly detection on compliance/operational datasets; reduced manual triage hours and accelerated exception handling.• Developed Power BI/Tableau executive dashboards (cycle time, backlog health, risk index) that increased decision cadence and transparency.• Applied NLP classification/extraction on regulatory documents to auto-tag obligations/controls; cut manual review effort 40%.• Ran statistical tests (t-tests, regression diagnostics) to validate remediation plans and quantify business impact with CIs.• Embedded data governance & access controls (RBAC, PII handling) in ML workflows aligned to NIST/ISO practices.• Authored board-ready reports translating model outputs into risk/ROI narratives that influenced renewals and roadmaps.

Education

• Capella University

  Master of Science - MS, Information Technology (General)

• Liberty University

  Master of Science, Information Technology: Network Design & Security

• The University of Alabama

  Computer Science

• Tuskegee University

  Computer Science

• Southern New Hampshire University

  Bachelor of Arts - BA, General Studies