Sam Palani
Worldwide Head Data Science & SSA - Amazon Nova & Bedrock GTM
Irvine, California, United States
Summary
👤
Senior🎓
Top SchoolSam Palani is a seasoned AI and data science executive with 11 years of experience leading machine learning and generative AI initiatives at AWS, now serving as Worldwide Head of Data Science & SSA for Amazon Nova and Bedrock go-to-market. He has progressed through technical and leadership roles—from hands-on specialist solutions architect and principal ML advisor to enterprise-facing GTM lead—bringing deep expertise in deploying scalable ML solutions across large organizations. Based in Irvine, California, Sam blends technical rigor (UC Berkeley training in scalable ML and distributed computing) with business acumen from an MBA and leadership programs at Duke. He contributes practical open-source work, including geospatial analysis notebooks for SageMaker Studio Lab that demonstrate proficiency with geopandas, rasterio and Sentinel-2 workflows. Known for bridging research, product and sales, he excels at translating advanced AI capabilities into measurable enterprise impact and go-to-market strategies.
11 years of coding experience
19 years of employment as a software developer
Scaleable Machine Learning and Distributed Computing, Scaleable Machine Learning and Distributed Computing at University of California, BerkeleyManagerial Excellence Program Leadership, Managerial Excellence Program Leadership at Duke University - The Fuqua School of BusinessMaster of Business Administration - MBA Information Technology, Master of Business Administration - MBA Information Technology at Asia Pacific Institute Of ManagementUniversity of DelhiPMP Project Management, PMP Project Management at PMILancers Convent School
Github Skills (12)
geopandas10
rasterio10
exploratory-data-analysis10
python10
data-science10
numpy9
machine-learning9
pandas9
aws8
trainings7
deeplearning-ai7
deep-learning7
Programming languages (3)
Github contributions (5)
aws/studio-lab-examples
Nov 2021 - Apr 2022
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
Role in this project:
Data Scientist
Data ScientistContributions:23 commits, 12 PRs, 5 pushes in 5 months
Contributions summary:Sam contributed example notebooks showcasing geospatial data analysis techniques within the SageMaker Studio Lab environment. Their work involved the installation and use of geospatial libraries like geopandas, and rasterio, demonstrating an ability to work with shapefiles and perform exploratory data analysis on geographic data. The user also created notebooks for Sentinel-2 data download, processing, and calculating spectral indices like NDVI and NDWI for regional analysis.
signtraininglinkawssagemaker-studio
samx18/awsBot
Sep 2016 - Apr 2017
Contributions:18 commits, 16 pushes, 1 branch in 6 months
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