Building an Effective Data Science Practice

A Framework to Bootstrap and Manage a Successful Data Science Practice

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Éditeur :

Apress

Paru le : 2021-12-08

Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analyst...
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Éditeur

Collection
n.c

Parution
2021-12-08

Pages
368 pages

EAN papier
9781484274187

Auteur(s) du livre


Vineet is a Chief Data Scientist at GS Lab, India, and has led the effort of setting up a Data Science group at GS Lab which has now successfully executed Data Science projects in diverse fields like healthcare, IoT, communication, etc. He has also led research projects - in Computer Vision and Demand Forecasting, and developed new Data Science algorithms/techniques in areas like model performance tuning.Vineet is a computer science engineer from Pune university with a master’s degree from BITS Pilani. For most of his 17-year professional career, he has been associated with Data Science projects and has 2 US patents in his name. Prior to joining GS Lab, he worked at SAS for 7 years building data science products. He has presented papers in global conferences and has given talks in colleges on topics related to Data Science. He has also been associated with universities for research projects in the field of Data Science.   Srinath is a Principal Architect at GS Lab, India. His key responsibility has been to bootstrap, and now to lead, the Data Science capability in GS Lab.  A TOGAF9-certified architect, Srinath specializes in aligning business goals to the technical roadmap and data strategy for his clients. His typical clients are software technology companies that depend on data science, or enterprises looking to leverage data science as part of their digitalization programs.  Srinath is a computer-science graduate from Pune University. During his 17 years of professional experience, he has primarily worked on data mining, predictive modeling, and analytics in varied areas such as CRM (retail/finance), life-sciences, healthcare, video conferencing, industrial-IoT and smart cities.

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EAN PDF
9781484274194
Prix
56,19 €
Nombre pages copiables
3
Nombre pages imprimables
36
Taille du fichier
7526 Ko
EAN EPUB
9781484274194
Prix
56,19 €
Nombre pages copiables
3
Nombre pages imprimables
36
Taille du fichier
10619 Ko

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