Siva Kandasamy
Manager - Product Analytics & Experimentation | Product Manager
- Role
- Manager - Data Science and Ai Governance at Factspan
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Siva Kandasamy
I am a seasoned leader in full-stack data management, with deep expertise spanning the entire data lifecycle—from production across multiple sources and data transformation, including identity resolution, to the consumption of data in analytics, BI, machine learning, and real-time production systems.At Factspan Analytics, I have been pivotal in driving innovation and strategic insights in the Product Analytics & Experimentation domain, particularly within the e-commerce sector. My leadership has played a crucial role in optimizing customer journeys and enhancing data instrumentation for key initiatives, including loyalty programs and digital pharmacy products.I am recognized for my ability to lead and mentor teams, helping individuals surpass their own expectations and evolve into future industry leaders. I excel in collaborating with diverse stakeholders across engineering, design, legal, marketing, finance, and the C-suite, ensuring seamless alignment and execution. As an MBA graduate with a focus on Marketing and Finance, complemented by an MS in Business Analytics from Arizona State University, I bring a strong foundation of business and technical knowledge. My entrepreneurial spirit led me to build products like Zyona AI and nocodequery.com even before Chatgpt became the mainstream name. Awards & Recognitions- Featured by Poets & Quants as one of the \"2020 MBAs to Watch\" among students from top Business Schools worldwide- Nominated for Poets & Quants\' 100 Best and Brightest MBAs in the world for the Class of 2020.I am passionate about building products that solve real problems for millions of customers and shape the future of data platforms. Feel free to reach out to me at s•••••@asu.edu.
Experience
Manager - Data Science and Ai Governance
Mar 2025 — Present
Supporting the development of enterprise AI Governance framework, driving cross-functional reviews to ensure compliant deployment(under NIST framework) of predictive ML and generative AI models.
Education
Shri Ganga Higher Secondary School
Higher Secondary, Science
2009
W. P. Carey School of Business – Arizona State University
Master of Business Administration - MBA, Marketing & Finance
2018 — 2020
W. P. Carey School of Business – Arizona State University
Master of Science - MS, Business Analytics
2019 — 2020
Madras Institute of Technology Campus
Bachelor of Engineering (B.E.), Automobile Engineering
2009 — 2013
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