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In this episode of Enqurious TV, host Mansi Mutreja speaks with Daksh Trehan about building a career in modern data and AI. Daksh shares his journey from working in BI and analytics to building production-grade machine learning systems and GenAI applications. With experience working on enterprise AI systems across industries like healthcare, insurance, and supply chain, he explains what it really takes to stay relevant in a fast-changing AI ecosystem. The conversation dives into practical topics like learning data science from first principles, transitioning across roles, building real-world projects, and how aspiring professionals can prepare for careers in GenAI. Daksh also shares insights from completing his MTech in Data Science from BITS Pilani, earning multiple Snowflake certifications, and writing 50+ technical articles on AI and machine learning. Key topics discussed in this episode • How Daksh transitioned from BI to machine learning and GenAI • Why building a broad foundation is important before specialization • Certifications vs real-world project experience in data careers • How to deal with the overwhelming number of AI tools and frameworks • Practical steps to build a strong profile in GenAI • The importance of building in public and documenting your work • Skills companies actually look for when hiring data and AI professionals • How to stay relevant in the rapidly evolving AI industry Daksh also shares a simple philosophy that shaped his career: Say yes first. Figure it out later. If you are starting or growing your career in data science, machine learning, or generative AI, this conversation offers practical advice and real-world lessons. #DataScience #GenerativeAI #Snowflake #MachineLearning #AI #DataEngineering #CareerInTech #EnquriousTV