Raamkumar Subramannian
Senior Ux Researcher @Chainalysis
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WORK HISTORY
Senior Ux Researcher @Chainalysis
CA
EDUCATION
University of Michigan - School of Information
Master of Science in Information (MSI), Human Computer Interaction
Anna University Chennai
Bachelor of Engineering (B.E.), Electronics and Communication (ECE)
Hofstra University
Master of Business Administration (M.B.A.), Marketing
SKILLS
ABOUT RAAMKUMAR SUBRAMANNIAN
I\'m a Strategic UX Researcher with 8+ years of experience driving data-driven recommendations and measurable business outcomes at 5B+ companies in the SaaS, and eCommerce spaces.I’ve partnered with cross-functional teams in enterprises, midsize organizations, and startups across Canada, the U.S, and India, facilitating the successful launch and growth of apps, websites, and platforms. My notable achievements include: Spearheading 0→1 research for Autodesk’s Flow Cloud Platform by facilitating visioning workshops with product and engineering leaders and mapping 12+ complex VFX workflows, shaping the strategic roadmap. Driving a 30% increase in SaaS customer support dashboard adoption through iterative research. Building MVP iOS and Android apps for a well-being startup, supporting growth to Series A funding ($20M). Reducing retail transaction times by 35% for a $22B telecom client through ethnographic research.With two Master’s degrees in Human-Computer Interaction and Marketing and a Bachelor’s in Engineering, I bring a well-rounded perspective to solving problems. My colleagues appreciate my adaptability and ability to navigate ambiguous issues.I relentlessly advocate for customer needs and strategically leverage user feedback to drive product and business outcomes.I am seeking contract or full-time opportunities as a Senior User Experience Researcher, preferably in hybrid work arrangements that allow occasional team meetings in Toronto (GTA).I am particularly interested in companies that balance user-centred and data-driven decision-making approaches and actively promote diversity, continuous learning, and the exploration of AI-based tools to augment traditional user research methods.
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