I’m a Data & Analytics Engineer at Morgan Stanley with 1.5+ years of experience working on technology solutions that power large-scale financial systems. My focus is on building and evolving data platforms that are reliable, efficient, and scalable, while keeping business impact at the core of every decision. I work at the intersection of data engineering, analytics, and system reliability, with hands-on experience across Java, Python, SQL, System Design, DBMS, DSA, Web Development, and Big Data technologies. I enjoy tackling real-world engineering problems where thoughtful design and execution translate directly into measurable outcomes. Beyond my core role, I’m a 4× hackathon winner, public speaker, and active community leader. I’ve held leadership roles across both technical and non-technical spaces—including AI student communities, TEDx teams, and training & placement cells—which shaped my interest in leadership, product thinking, and building communities that scale. I’m passionate about sharing insights on data, AI, technology careers, productivity, and personal growth. Through content and conversations, my goal is to simplify complex ideas, share lessons from real projects, and help others grow with clarity and confidence. If you believe in continuous learning, thoughtful problem-solving, and building meaningful technology, let’s connect and grow together.