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★★★★★
☆☆☆☆☆
USD 20 /hr
Hire Dr. Bibhuti Bhusan S.
India
USD 20 /hr

Data analyst, ETL expert, Predictive modeling, Remote sensing and gis expert, expert on Python and R, Scientific writing

Profile Summary
Subject Matter Expertise
Services
Writing Technical Writing, Copywriting, Newswriting
Research Market Research, User Research, Meta-Research, Gap Analysis, Gray Literature Search, Systematic Literature Review
Consulting Scientific and Technical Consulting
Data & AI Predictive Modeling, Statistical Analysis, Data Visualization, Big Data Analytics, Data Processing, Data Insights
Work Experience

Associate Professor

MVR College of Engineering and Technology

December 2018 - Present

Education

PhD Research Scholar (Civil Engineering)

National Institute of Technology Patna

June 2015 - Present

Certifications
  • Certification details not provided.
Publications
JOURNAL ARTICLE
Bibhuti Bhusan Sahoo, Sovan Sankalp, Sanat Nalini Sahoo (2021). Deep learning models' comparable assessment and uncertainty analysis for diurnal temperature range (DTR) predictions over indian urban cities . Results in Engineering.
Bibhuti Bhusan Sahoo, Ramakar Jha(2020). Assessment of low flow trends and change point detection in Mahanadi River basin, India . Sustainable Water Resources Management. 6. (5). Springer Science and Business Media {LLC}
Bibhuti Bhusan Sahoo, Ramakar Jha, Anshuman Singh, Deepak Kumar(2020). Bivariate low flow return period analysis in the Mahanadi River basin, India using copula . International Journal of River Basin Management. p. 1--10. Informa {UK} Limited
Bibhuti Bhusan Sahoo, Ramakar Jha, Anshuman Singh, Deepak Kumar(2019). Long short-term memory (LSTM) recurrent neural network for low-flow hydrological time series forecasting . Acta Geophysica. 67. (5). p. 1471--1481. Springer Science and Business Media {LLC}
(2019). Source characterization and human health risk assessment of nitrate in groundwater of middle Gangetic Plain, India .
BIBHUTI BHUSAN SAHOO, Abinash Mohanta, KANHU PATRA (2018). Anticipate Manning’s Coefficient in Meandering Compound Channels . Hydrology.
Bibhuti Bhusan Sahoo, Ramakar Jha, Anshuman Singh, Deepak Kumar(2018). Application of Support Vector Regression for Modeling Low Flow Time Series . KSCE Journal of Civil Engineering. Springer Nature