? Framing use cases with business teams, validating data availability, and translating business requirements into robust pipelines and architectures.
? Explaining analytical and AI approaches in clear and pragmatic terms, highlighting feasibility, risks, and ROI.
? Designing and implementing analytical solutions (including machine learning and GenAI) that create measurable business impact.
? Conducting thorough data processing and data modeling, effectively applying analytical and AI solutions to achieve business outcomes.
? Ensuring solutions are robust, scalable, and production-ready by applying software engineering and MLOps best practices.
? Visualizing and communicating outcomes for executive-level audiences.
Intellectual curiosity and problem-solving skills, with the ability to structure and prioritize for maximum impact.
Experience managing more junior resources and allocating tasks
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