# Enabling Better Decisions Through Data with Sree Krishna Kumaraswamy

Page: https://stenobird.com/podcast/software-people-stories-812587/enabling-better-decisions-through-data-with-sree-krishna-kumaraswamy
Text version: https://stenobird.com/podcast/software-people-stories-812587/enabling-better-decisions-through-data-with-sree-krishna-kumaraswamy.md
Podcast: [Software People Stories](https://stenobird.com/podcast/software-people-stories-812587)
Published: 2026-07-13T05:54:35+00:00
Episode link: https://listen.hubhopper.com/episode/enabling-better-decisions-through-data-with-sree-krishna-kumaraswamy/33022626
Audio file: https://play.hubhopper.com/afd5a323f0aa2e256ac82d8f44981217.mp3?s=rss-feed&v=6e9336807d7a
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JSON: https://stenobird.com/v1/public/podcasts/software-people-stories-812587/episodes/enabling-better-decisions-through-data-with-sree-krishna-kumaraswamy
Duration seconds: 2953

## Resource

My guest today is Sree Krishna Kumaraswamy, known more popularly as Krishna, a data and analytics leader with over 20 years of experience spanning consulting and large enterprise technology companies In this conversation, Krishna traces his journey from growing up in Chennai with an expected engineering path to discovering mathematics and statistics through the Indian Statistical Institute Talks about his early work in applied statistics and computer vision,applying concepts of machine learning before “data science” became a mainstream term. Describes how Carnegie Mellon’s Knowledge Discovery and Data Mining program deepened his exposure to algorithms, natural language processing, unstructured data, and the business applications of predictive modeling. Emphasizes that generative AI is powerful but costly, and the need to use it thoughtfully Stresses that responsibility for ethical data use is shared across organizations, including data scientists, engineers, governance teams, risk leaders, executives, and users. Touches on data poisoning, cyber threats, and the growing need for systems that can detect fast-moving patterns without overreacting to every small data change. His career advice for those aspiring to enter or switch to data science roles Shares his grounding principle is the “so what, who cares?” test: work on problems that matter to someone, find partners who care about the outcome, and focus on impact rather than technology for its own sake. Krishna is a data and analytics leader with over 20 years of experience spanning consulting and large enterprise technology companies. With an academic background in statistics and machine learning, he has spent his career turning data and AI into tools that help businesses make better decisions. Most recently, he led da…

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