Sayan Putatunda

About Sayan Putatunda

Dr. Sayan Putatunda is an AI/ML leader with 12+ years of experience driving innovation at Fortune 500 tech companies, and a PhD in Applied Statistics & Machine Learning from IIM Ahmedabad - one of Asia\'s premier management and research institutions, consistently recognized among the world\'s top programs in global rankings. Currently leading geospatial science and LLM-based initiatives as Applied Science Manager at Amazon, with prior leadership roles at Walmart and VMware. His doctoral research at IIMA focused on ML for streaming data and its applications to transportation systems. His research has been published in top-tier (ABDC A* and Scimago Q1 ranked) journals like Transportation Research Part C: Emerging Technologies, Neural Computing & Applications, and presented at premier conferences (KDD, ACM). He is also the author of the book \"Practical Machine Learning for Streaming Data with Python\"(Publisher- Apress/Springer), bridging academic innovation with industry-scale deployment. Innovation is at his core - with granted patents across US, German, and Australian jurisdictions, spanning diverse areas from customer-partner matching to last-mile optimization. His inventions have directly impacted product development and customer experience at major tech companies. To complement his technical foundation, he has completed executive education from MIT (Tech Leadership), Harvard (Cybersecurity), Oxford (Fintech), and Yale (Product Management)- equipping him to lead at the intersection of AI, business strategy, and organisational impact. Key Focus Areas:• Leading high-impact AI/ML teams • Building scalable ML systems that solve real business problems • Bridging research and production implementation • Geospatial science, Search & Personalization, Enterprise ML, LLMs, and domain-specific AI (health, logistics) • Mentoring and building the next generation of Science and Tech leaders • Driving innovation that translates directly into product value Always open to connecting with fellow tech leaders, researchers, and innovators in the AI/ML space.

Experience

1. Applied Science Manager

   Amazon

   Jan 2024 — Present · Bengaluru, IN

   Leading a team of Applied Scientists and Research Scientists to enhance Amazon\'s last mile delivery efficiency. We develop comprehensive geospatial models at scale that provide a more accurate understanding of real-world conditions, ultimately improving the experience for both our delivery partners and customers.• Multiple papers accepted in AMLC (i.e. Amazon\'s flagship ML conference)• Multiple US Patents filed• Submitted papers in top ML/CS external conferences (Core A*/A ranked conferences): Paper accepted at SIGSPATIAL 2025

Education

• Stanford University School of Medicine

  Executive Education, Applications of Machine Learning in Medicine Program

  2025 — 2026

• Harvard University

  Office of the Vice Provost- Professional Certificate, Cybersecurity: Managing Risk in the Information Age

• Indian Institute of Science (IISc)

  CCE (Centre for Continuing Education)- Proficience Programme, Computational Machine Learning

  2018 — 2018

• Yale School of Management

  Executive Education, Accelerated Management Program

  2020 — 2021

• Massachusetts Institute of Technology

  Post Graduate Certificate (by MIT xPro), Technology Leadership and Innovation

• Indian Institute of Management Ahmedabad

  Doctor of Philosophy - PhD, Applied Statistics/ Machine Learning

  2013 — 2017

• West Bengal University of Technology, Kolkata

  B.Tech, Electrical engineering

  2005 — 2009

• Saïd Business School, University of Oxford

  Executive Education, Oxford Fintech Programme

  2019 — 2020

Skills

• Flex Mix Modelling
• Moa
• Tensorflow
• Chaid
• Aws
• Java
• Data Warehousing
• Spss
• Analytics
• Keras
• Business Intelligence
• Teradata
• Linear Regression
• Linear Programming
• Scala
• Predictive Analytics
• Amazon Web Services (Aws)
• Scipy
• Data Science
• Visual Basic for Applications (Vba)
• Data Mining
• Stata
• Hadoop
• Knime
• R
• Sas
• Logistic Regression
• Market Basket Analysis
• Gcp
• Python
• Sem
• Latex
• H20.ai
• Databases
• Business Analytics
• Informatica
• Vba
• Statistics
• Tableau
• Statistical Modeling