Biography
Professional with 7+ years of experience in data-driven fault diagnosis and prognosis of rotating machinery. I got introduced to these fields during my PhD research at IIT Kharagpur, where I was advised by Prof. A. R. Mohanty. I am a trained Mechanical Engineer with proficiency in machine learning and programming. Always eager to leverage my domain knowledge and machine learning experience to tackle emerging problems in condition-based maintenance and Industry 4.0. An open source contributor aiming to demystify technical jargons through expository writing and code that would contribute towards understanding of digital transformation happening in mechanical/manufacturing industry. My open source contributions can be found here and my blogs can be found here. Beyond research, I like literature and music.
- Machine Learning
- 3D Printing
- Anomaly Detection
- Time Series Analysis
- Natural Language Processing
- Signal Processing
- Condition-Based Maintenance
- Industrial Internet of Things
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PhD in Mechanical Engineering, 2024
Indian Institute of Technology, Kharagpur, India
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MTech in Mechanical Engineering, 2015
National Institute of Technology, Rourkela, India
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BTech in Mechanical Engineering, 2013
Odisha University of Technology and Research (Formerly College of Engineering and Technology), Bhubaneswar, India
Experience
Recent Posts
Projects
Aim of this project is to produce reproducible results in condition monitoring. We will apply some of the standard machine learning techniques to publicly available datasets and show the results with code for remaining useful life (RUL) prediction task. This is an ongoing project and will evolve over time. Related notebooks can be found at this github page.
Aim of this project is to produce reproducible results in condition monitoring. We will apply some of the standard machine learning techniques to publicly available machinery datasets and show the results with code for fault diagnosis task. This is an ongoing project and will evolve over time. Related notebooks and data can be found at this github page.