The Dallas Data Science Academy Blog
Practical writing on AI, Agentic AI, and data science from the practicing data scientists who teach our programs — what is working in real projects, and what it means for your career.
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Healthcare Analytics
Site-of-Care Redirection Modeling: Optimize Last-Mile Healthcare Logistics
Learn how demographic proximity vectors, drive-time features, and redirection scoring can improve healthcare delivery routes and reduce last-mile costs.
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Production ML
AI Model Fails in Production: 3 Hidden Causes
Great validation scores can hide target leakage, proxy bias, and weak test design. Learn how to catch these production risks before deployment.
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Healthcare Analytics
How to Predict Payer Mix with AutoML: A 5-Step Framework
Define the right target, build operational and economic features, compare model families, monitor drift, and turn payer forecasts into finance-ready decisions.
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Career
How to Build a Data Science Portfolio That Gets You Hired
Why cleaned public templates get rejected on sight — and what hiring teams look for instead: messy data, production thinking, and a clear line from your model to a business decision.
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Career
Healthcare Data Science vs. Actuarial Data Science: Which Pays Off Faster?
Compare the two paths on compensation, time to entry, credentialing, and job growth — and see why the faster payoff depends on employability, not median salary.
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Forecasting
Predicting Ranges, Not Points: Why Single-Number Forecasts Lose Credibility with Executive Stakeholders
Point forecasts hide the uncertainty executives need most — prediction intervals, calibration tracking, and percentile triggers turn a model output into a decision structure.
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Healthcare Analytics
Where Six Sigma meets AI in Medicare Part D analytics
Pairing DMAIC discipline with machine learning turns Part D analytics from retrospective reporting into predictive financial control.
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