Experience using machine learning algorithms for classifications, regressions, and anomaly detection
Solid understanding mathematical, statistical and probability for machine learning
Experience with deep learning architectures like CNN and RNN
Python(preferred) or R Scripting, SQL scripting
Experience with data visualization and BI tools such as Power BI, Tableau or equivalent
Familiar with Vibration Data collection, Data interpretation, diagnosis and trending of rotating machinery heath
Analyzed vibration signals from Rotating machines, on-site Balancing, Natural frequency measurements, performed spectrum analysis on Time Series Vibration data
Experience with vibration signals/data to detect anomalies, predict failures using Machine Learning techniques
Experience with analysis that predicts failures such as machine/asset Imbalance, misalignment, looseness, bearing failures, etc.
Solid understanding of vibration principles, data acquisition, condition monitoring, signal processing and equipment testing and diagnostics.
Act as a Vibration SME to customers.
Ability to learn technology quickly through instruction and self-training
Strong leadership skills; demonstrate the ability to positively influence a group of people