Hello World 👋 I'm Edgar F. Sierra-Alonso
Senior Data Scientist specializing in signal processing and machine learning for industrial applications. Over 10 years of research and industry experience in vibration analysis, compression algorithms, and bearing fault detection. Dual PhD in Acoustics (INSA Lyon) and Automation Engineering (National University of Colombia). Published researcher, award recipient, and experienced lecturer. ❤️✌️
About me:
- 🔭 Currently working at MaintainX on predictive maintenance & bearing fault detection pipelines.
- 🎓 Adjunct Fellow at Victoria University, Melbourne — Kalman filters for drivetrain vibration separation.
- 🧠 Background in vibroacoustic analysis, spectral methods, and ML-based fault classification.
- 🌍 Based in Ibagué, Colombia — previously worked in France, Australia, Brazil, and the USA.
- 🗣️ Spanish (native), English (advanced), French (intermediate).
- 📫 Reach me at efsierraa@gmail.com or any of my social links above.
- 📝 Check out my publications on Google Scholar.
Experience highlights:
| Role | Company | Focus |
|---|---|---|
| Senior Data Scientist | MaintainX 🇨🇦 | Bearing fault detection, Databricks pipelines, rule-based monitoring |
| Senior Data Scientist – DSP | TRACTIAN 🇺🇸 | Vibration compression (AI + DCT), sensor equalization, spectral analysis |
| Research Fellow | Victoria University 🇦🇺 | Kalman filters for cargo vibration, packaging optimization |
| ML Specialist | Dynamox 🇧🇷 | Speed estimation, Remaining Useful Life prediction |
| Research Assistant | GCPDS – UNAL 🇨🇴 | Bearing fault filtering, angular speed estimation, HRV analysis |
Education:
- 🎓 PhD, Acoustics — INSA Lyon, France
- 🎓 PhD, Automation Engineering — National University of Colombia
- 🎓 M.Sc., Industrial Automation — National University of Colombia
- 🎓 B.Sc., Mathematics — National University of Colombia
- 🎓 B.Sc., Electronic Engineering — National University of Colombia
Languages and Tools:
Core expertise:
Signal Processing · Vibration Analysis · Bearing Fault Detection · Machine Learning · Feature Engineering · Kalman Filters · Spectral Methods · Neural Networks · RUL Prediction · Databricks / Spark
Awards & Honors:
- 🏆 Best Paper — CM/MFPT Conference (2013)
- 🥉 Third Prize — SAFRAN Surveillance Contest (2013)
- 🎖️ Colciencias Scholarship (2013–2015)
- 🎖️ PALSE Scholarship (2017–2019)
- 🎖️ IDEX Scholarship (2017–2019)