Summary
Edgar Sierra is a Senior Data Scientist with nine years of hands-on experience applying signal processing and machine learning to vibration analysis and bearing fault identification. He holds a PhD in engineering with advanced training in acoustics and a strong foundation in mathematics and electronics, and has published research and earned international awards and scholarships. At MaintainX and previously TRACTIAN and Dynamox, he delivered practical DSP solutions—compression, equalization, sideband and carpet detectors—that preserved diagnostic fidelity while enabling efficient storage and sensing. As an adjunct fellow at Victoria University he developed an Extended Kalman Filter approach to separate drivetrain and road vibrations, directly reducing packaging over-design and waste. He combines academic rigor with product-focused engineering, routinely translating entropy-based and spectral divergence methods into deployable algorithms. Based in Ibagué, Colombia, he’s continually exploring novel ML-DSP hybrids in Python and MATLAB for real-world condition monitoring.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, ENGINEERING, Doctor of Philosophy - PhD, ENGINEERING at Universidad Nacional de Colombia
Doctor of Philosophy - PhD, Acoustics, Doctor of Philosophy - PhD, Acoustics at INSA Lyon - Institut National des Sciences Appliquées de Lyon
English, French, Spanish