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Parmod Kumar
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  • New Delhi
  • India
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Latest Activity

Parmod Kumar liked Rubens Zimbres's blog post A Cheat Sheet on Probability
Nov 23, 2017
Parmod Kumar liked Vincent Granville's blog post Hitchhiker's Guide to Data Science, Machine Learning, R, Python
Nov 22, 2017
Parmod Kumar liked L.V.'s blog post Machine Learning Glossary by Google
Nov 22, 2017
Parmod Kumar liked Vincent Granville's blog post DSC Competition for Data Science and Quant Pros - $2,000 Award
Nov 10, 2017
Parmod Kumar liked Vincent Granville's blog post Reading List for Data Scientists
Nov 2, 2017
Parmod Kumar liked Vincent Granville's blog post How Mathematical Discoveries are Made
Oct 25, 2017
Parmod Kumar liked Emmanuelle Rieuf's blog post 12 Algorithms Every Data Scientist Should Know
Oct 19, 2017
Parmod Kumar liked Vincent Granville's blog post DSC Classifieds: Books, Data Sets, Internships, Gigs, Events and more
Oct 17, 2017
Parmod Kumar liked Emmanuelle Rieuf's blog post An overview of gradient descent optimization algorithms
Oct 12, 2017
Parmod Kumar liked L.V.'s blog post Free Book: Probability and Statistics Cookbook
Oct 9, 2017
Parmod Kumar liked Emmanuelle Rieuf's blog post Book: Statistics for Non-Statisticians
Oct 8, 2017
Parmod Kumar liked Emmanuelle Rieuf's blog post Book: Statistics for Non-Statisticians
Oct 8, 2017
Parmod Kumar liked Emmanuelle Rieuf's blog post A Complete Tutorial to Learn Data Science with Python from Scratch
Oct 2, 2017
Parmod Kumar liked ajit jaokar's blog post The lipstick robot - A great way to explain Deep learning
Sep 13, 2017
Parmod Kumar liked Amelia Matteson's blog post How can R Users Learn Python for Data Science ?
Sep 5, 2017
Parmod Kumar liked Vincent Granville's blog post 16 Great IoT Articles Published in 2016
Sep 3, 2017

Profile Information

Short Bio
Parmod Kumar is a qualified Engineer offering 12 years of cross functional experience. He started his career as a Marine Engineer and worked with Mitsui O.S.K. Lines and Chevron Shipping Co. L.L.C. Presently he is working as an Assistant Professor with MWU, Ethiopia, a Data Science Trainer and volunteering as NPA Diversity Officer. He is at the same time working as a freelance research adviser to M.S. and Ph.D. students. He is further serving as a reviewer for various reputed international conferences and journals. He is passionate to listen and solve challenging problems. In Data Science training course, He teaches 'Data Science Introduction and Toolbox', 'Data Extraction, Preparation, and Manipulation' 'Inferential Statistics', 'Principal Of Analytics 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.'
Dr. Parmod's academic credentials include 'Instrumentation and Control System course' from Applied Research Internation Pvt. Ltd., New Delhi; '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' from Idaho State University, USA.
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 protected] and +91-7838779082.
My Web Site Or LinkedIn Profile
http://www.linkedin.com/profile/view?id=14099371&trk=nav_respon...
Professional Status
Technical
Years of Experience:
7
Your Job Title:
Assistant Professor
How did you find out about DataScienceCentral?
Google Link
Interests:
Finding a new position, Networking, New venture, Recruiting, Other
What is your Favorite Data Mining or Analytical Website?
http://www.ibmbigdatahub.com/blogs
What Other Analytical Website do you Recommend?
http://www.kaggle.com/

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