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$
USD
Data Scientist and Analyst, Project Manager
Purely data-driven models frequently miss failures because they ignore physical reality. This project bridges that gap by combining machine learning with mechanical domain expertise, delivering a high-fidelity asset tracking pipeline that respects physical variables like thermal limits, stress, and vibrational frequencies.
Expertise:
Anomaly detection
•
Predictive analysis
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Panda