Zohaib Rashid

I’m an AI undergraduate focused on designing intelligent automation solutions that streamline operations, reduce manual work, and turn data into actionable workflows. My work sits at the intersection of automation, analytics, and business processes — using tools like Power Automate, low-code platforms, and data systems to connect apps, orchestrate workflows, and enable smarter decision-making. I specialize in identifying repetitive or inefficient processes and building practical automation that improves reliability, visibility, and speed across teams. With a foundation in data analytics, I bring a structured approach to automation — ensuring workflows are scalable, measurable, and aligned with real business needs. What I focus on: • Designing and implementing workflow automation using no-code and low-code tools • Connecting data sources, systems, and reporting layers to enable seamless operations • Supporting decision-making through automated reporting and real-time insights • Applying data modeling, ETL concepts, and process thinking to build robust solutions • Translating business requirements into practical automation strategies Tools and stack: • Power Automate, RPA concepts, and workflow orchestration • Power BI for reporting and operational visibility • SQL and Python for data handling and integrations • Cloud fundamentals and data pipeline concepts I’m particularly interested in roles and collaborations where automation can drive efficiency, reduce operational friction, and create measurable impact — especially in environments adopting AI-driven workflows and digital transformation.