Tirtha Changmai

AI Scientist-i at DATA POEM

Tirtha Changmai has experience working as an AI Scientist-I at Data Poem and as an MLDOPS Associate - II at Amazon. Tirtha also worked as a Content Writer at CES and as a Technical Support Specialist at Sutherland. Tirtha holds a Postgraduate Degree in Data Science and Business Analytics from Texas McCombs School of Business, a Bachelor of Technology in Mechanical Engineering from Dr MGR Educational and Research Institute, and high school diplomas from NPS International School Guwahati Assam and Jawahar Navodaya Vidyalaya (JNV).

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Bengaluru, India

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DATA POEM

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๐——๐—ฎ๐˜๐—ฎ ๐—ฃ๐—ผ๐—ฒ๐—บ is a core AI company with a bold mission: to go beyond correlation and uncover true causation. We believe the future of intelligence isnโ€™t just about knowing what happenedโ€”but about understanding ๐˜ธ๐˜ฉ๐˜บ it happened, and what to do next. This pursuit of the "why" led us to develop the worldโ€™s ๐—ณ๐—ถ๐—ฟ๐˜€๐˜ ๐—Ÿ๐—ฎ๐—ฟ๐—ด๐—ฒ ๐—–๐—ฎ๐˜‚๐˜€๐—ฎ๐—น ๐—”๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒโ€”a groundbreaking foundation purpose-built to uncover deep, actionable relationships within data. At the heart of this architecture is ๐—ฃ๐—ข๐—˜๐— ๐Ÿฏ๐Ÿฒ๐Ÿฑ, our enterprise-scale AI model powered by a vast, ever-expanding data universe. POEM365 draws causal insights from: โ€ข ๐Ÿฎ๐Ÿฌ๐Ÿฌ๐—•+ ๐˜๐—ฟ๐—ฎ๐—ป๐˜€๐—ฎ๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€ โ€ข $๐Ÿฑ๐—ง+ ๐—ถ๐—ป ๐˜€๐—ฝ๐—ฒ๐—ป๐—ฑ ๐—ฝ๐—ฎ๐˜๐˜๐—ฒ๐—ฟ๐—ป๐˜€ โ€ข ๐Ÿญ๐Ÿฑ,๐Ÿฌ๐Ÿฌ๐Ÿฌ+ ๐—ด๐—น๐—ผ๐—ฏ๐—ฎ๐—น ๐—ฏ๐—ฟ๐—ฎ๐—ป๐—ฑ๐˜€ This scale of intelligence enables a new paradigm we call ๐—˜๐—ป๐˜๐—ฒ๐—ฟ๐—ฝ๐—ฟ๐—ถ๐˜€๐—ฒ ๐—–๐—ผ๐—ป๐˜€๐—ฐ๐—ถ๐—ผ๐˜‚๐˜€๐—ป๐—ฒ๐˜€๐˜€โ€”a unified, strategic awareness that empowers organizations to ๐˜›๐˜ฉ๐˜ช๐˜ฏ๐˜ฌ ๐˜ข๐˜ด ๐˜–๐˜ฏ๐˜ฆ. ๐˜ˆ๐˜ค๐˜ต ๐˜ข๐˜ด ๐˜–๐˜ฏ๐˜ฆ. POEM365 delivers across critical business functions: โ€ข ๐—ฆ๐˜๐—ฟ๐—ฎ๐˜๐—ฒ๐—ด๐—ถ๐—ฐ ๐—ฃ๐—น๐—ฎ๐—ป๐—ป๐—ถ๐—ป๐—ด & ๐—”๐—น๐—ถ๐—ด๐—ป๐—บ๐—ฒ๐—ป๐˜: Connects IBP, AOP, and day-to-day decisions across Marketing, Sales, Finance, and Opsโ€”ensuring everyone works from a shared, causal view of revenue drivers. โ€ข ๐—–๐—ฎ๐˜‚๐˜€๐—ฎ๐—น ๐—™๐—ผ๐—ฟ๐—ฒ๐—ฐ๐—ฎ๐˜€๐˜๐—ถ๐—ป๐—ด: Goes beyond traditional prediction to reveal the hidden causes behind outcomes, with over ๐Ÿต๐Ÿฏ% ๐—ฝ๐—ฟ๐—ฒ๐—ฐ๐—ถ๐˜€๐—ถ๐—ผ๐—ป in forecasting ripple effects. โ€ข ๐—ฃ๐—ฟ๐—ฒ๐˜€๐—ฐ๐—ฟ๐—ถ๐—ฝ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ข๐—ฝ๐˜๐—ถ๐—บ๐—ถ๐˜‡๐—ฎ๐˜๐—ถ๐—ผ๐—ป: Applies Multivariate Optimization to navigate complexity and prescribe the optimal mix of decisionsโ€”from media allocation and supply chain routes to pricing and product launches. With POEM365, you move from reactive analytics to truly ๐—ฐ๐—ฟ๐—ฒ๐—ฎ๐˜๐—ถ๐—ป๐—ด ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ณ๐˜‚๐˜๐˜‚๐—ฟ๐—ฒโ€”through clarity, causation, and intelligent action.