Biography: I am Parmod Kumar, qualified Engineer
offering 12 years of cross functional experience. I started my career as a
Marine Engineer and worked with Mitsui O.S.K. Lines and Chevron Shipping Co.
L.L.C. Presently I am working as an Assistant Professor with MWU, Ethiopia, a
Data Science Trainer [URL] and volunteering as NPA Diversity Officer. I am at
the same time working as a freelance research adviser to M.S. and Ph.D.
students. I am further serving as a reviewer for various reputed international
conferences and journals. I am passionate to listen and solve challenging
problems. In Data Science training course, I teach 'Data Science Introduction
and Toolbox', 'Data Extraction, Preparation, and Manipulation' 'Inferential
Statistics', 'Principal Of Analytic Graph', 'Predictive Models and Machine
Learning Algorithm – Supervised Regression', 'Predictive Models and Machine
Learning Algorithm – Supervised Classification', 'Predictive Models and Machine
Learning Algorithm – Unsupervised', 'Text Mining, Natural Language Processing,
and Social Network Analysis', and 'Capstone Project.'
credentials include Post Graduate Diploma in industrial Automation (PGDIA);
Ph.D. - Control Systems and Signal Processing, M.S. - Measurement and Control
Engineering, and B.E. - Marine Engineering.
Honesty, integrity, and
dedication are my core strengths which have significantly contributed towards
my career growth. I look forward to taking up assignments with greater
responsibilities and creating the landmark. I am nature and animal lover and
enjoy spending time with them. Also, I read books on diverse topics and play
basketball, volleyball, and soccer. If you are interested in learning more
about my experiences, or prospective collaborations, please contact me at
email@example.com and +91-7838779082.
Research Interest: Experimental Design, Biomedical Signal Processing and Analysis, Image Processing and Analysis; Dynamic Modelling and System Identification, Statistical Analysis and Modelling; Mathematical Approximation and Optimization, Biomedical Engineering, Machine Learning; Application of Artificial ntelligence, Fuzzy Logic, Neural Networks, Genetic Algorithm; Classical and Intelligent Control Systems, Mechatronics, Robot Architecture, Sensors and Actuators