Open Data for Sustainable Community
Springer Verlag, Singapore
978-981-334-314-6 (ISBN)
Neha Sharma is working with Tata Consultancy Services and is Founder Secretary, Society for Data Science. Prior to this, she has worked as Director of premier Institute of Pune, that runs postgraduation courses like MCA and MBA. She is an alumnus of a premier College of Engineering and Technology, Bhubaneshwar, and completed her Ph.D. from prestigious Indian Institute of Technology, Dhanbad. She is a senior IEEE member and executive body member of IEEE Pune Section. She is an astute academician and has organized several national and international conferences and published several research papers. She is the recipient of “Best PhD Thesis Award” and “Best Paper Presenter at International Conference Award” at national level. She is a well-known figure among the IT circle, and well sought over for her sound knowledge and professional skills. Neha Sharma has been instrumental in integrating teaching with the current needs of the industry and steering students towards their bright future. Santanu Ghosh is IT Veteran with over 26 years of experience and Sustainability Evangelist. He leads the Sustainability Ecosystem for TCS A&I unit. He is responsible for the exploration and launch of data & analytics-driven sustainability initiatives in the areas of environment, climate, health and biodiversity for both commercial and community enterprises. His endeavors align with UN’s Sustainable Development Goals and its mapping to Enterprise and Community KPIs. He opines that data plays a critical role in creating data-driven environment-friendly solutions and creating a circular economy by the creation of a knowledge ecosystem. He has been part of many fora promoting his views on environment, climate, community impacts and their relationships with the SDGs. Monodeep Saha is currently working as Project Lead in TCS forBFSI clients. He has a rich and diverse experience of over a decade in Financial Services Analytics industry, with consulting experience of major financial institutions/FinTech in Asia pacific/US/EMEA region. He is Analytics/Machine Learning Expert with industry expertise in Risk and Marketing Analytics space. Mr. Saha has master’s degree in physics from IIT Madras with focus on advanced mathematics and computing. In his spare time, he spends time with family, and loves to read and write. He authors short writeup at various forums covering fiction and non-fictional topics. This book is an attempt to converge his professional skills for greater good of humanity and society at large.
Chapter 1. Environment-A Fact Based Study using Tree Census and Air Pollution Data.-Chapter 2. Exploring Air Pollution and Green Cover Dataset– A Quantitative Approach.- Chapter 3. Application of Statistical Analysis in Uncovering the Spatio-Temporal Relationships between the Environmental Datasets.- Chapter 4. Environment - A Fact Based Study using Tree Census and Air Pollution Data.- Chapter 5. Analysis & Visualization of Farmer Call Center Data.- Chapter 6. Chapter 6. An Approach for Exploring New Frontiers for Optimizing Query Volume for Farmer Call Centre – KCC Query Pattern.- Chapter 7. Demand and Supply Study of Healthcare Human Resource and Infrastructure– Through the Lens of COVID 19.- Chapter 8. COVID-19 and Indian Healthcare System-A Race Against Time.- Chapter 9. Estimating Cases for COVID-19 in India.- Chapter 10.Multi-facet Impact of Pandemic on Society.
Erscheinungsdatum | 14.12.2021 |
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Reihe/Serie | Advances in Sustainability Science and Technology |
Zusatzinfo | 213 Illustrations, color; 46 Illustrations, black and white; XXIV, 299 p. 259 illus., 213 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Informatik ► Theorie / Studium ► Algorithmen | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Naturwissenschaften ► Biologie ► Ökologie / Naturschutz | |
Technik | |
Schlagworte | Agricultural Data • Carbon Footprint • Clustering • Healthcare informatics • Prediction models • Sustainable Development Goals |
ISBN-10 | 981-334-314-1 / 9813343141 |
ISBN-13 | 978-981-334-314-6 / 9789813343146 |
Zustand | Neuware |
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