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プロフィール詳細
Dr. Uttara S.に依頼
Singapore
Freelance Scientific Writer with 7+ years of experience in research
プロフィール概要
専門分野
サービス
Writing
Technical Writing,
General Proofreading & Editing
Research
Scientific and Technical Research,
Systematic Literature Review
Consulting
Scientific and Technical Consulting
Data & AI
Statistical Analysis,
Data Visualization
職務経験
Research Consultant
Ministry of Earth Science, Government of India
8月 2023 - 現在
Project Associate
The Energy and Resources Institute
7月 2016 - 12月 2017 ![]()
学歴
Doctor of Philosophy
Deakin University
1月 2018 - 6月 2023
Masters in Biotechnology
Jaypee University of Information Technology
7月 2011 - 6月 2016
認定資格
-
Bioinformatics Data Science with Python
Decode life
8月 2023 - 現在
-
Introduction to Pharma and Healthcare Communications
AMICULUM
6月 2023 - 現在
-
Statistics Foundation 1: The Basics
NASBA
https://www.linkedin.com/learning/certificates/dec5bf5ab4fc91627410bc68cf1e3a41dd5b51a6badb4c5ffbb59a7ce4188eca?lipi=urn:li:page:d_flagship3_profile_view_base_certifications_details;Y47aspDLT2SDFgHuAPwmdQ==1月 2023 - 現在
-
Python for Data Visualisation
NASBA
https://www.linkedin.com/learning/python-for-data-visualization/effectively-present-data-with-python?u=210408410月 2020 - 現在
出版物
JOURNAL ARTICLE
Uttara Shankar, Sangram Lenka, M. Leigh Ackland, Damien L. Callahan(2022). Review of the structures and functions of algal photoreceptors to optimize bioproduct production with novel bioreactor designs for strain improvement . Biotechnology and Bioengineering. 119. (8). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 2031--2045. Wiley
Uttara Shankar, Vijay Kumar Garlapati, Amrita Budhiraja(2016). Bioconversion technologies of crude glycerol to value added industrial products . Biotechnology Reports. 9. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 9--14. Elsevier {BV}
PREPRINT
Uttara Shankar, Sangram K. Lenka, M. Leigh Ackland, Damien L. Callahan(2022). Comparison of different solvent extraction compositions for the analysis of phytoplankton pigments and lipids using a rapid and sensitive LC-MS method . Research Square Platform {LLC}