Data science skillset demo: Causal inference for Treatment Effect & Clinical Priority
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Updated
Apr 19, 2026 - Python
Data science skillset demo: Causal inference for Treatment Effect & Clinical Priority
Introducing: A next‑generation Safety Instrumented System (SIS) framework introducing SIL(t) — a time‑dependent, data‑driven model that corrects the static assumptions of IEC 61508. Includes dynamic risk analytics, operational drift modeling, lake-house architecture diagrams, and end‑to‑end SIS data flow for modern industrial environments.
This project takes live images of the driver, detects the signs of possible drowsiness, and alarms the driver to their condition and thus helps to reduce the risk.
This specialization has covered all the latest discoveries in medicine solving diagnostic, prognostic and treatment-related problems with some state-of-the-art algorithms and libraries. I have completed the course which helps me to be an expert in AI for Medicine.
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