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I began my career in marketing, working on digital campaigns, content, and social media across agencies and innovation hubs in the Middle East. Those roles gave me a strong foundation in how teams operate and sparked my interest in using data to drive better decisions.
That curiosity led me to transition into data and analytics, where I built skills in SQL, data modeling, visualization, and Python while working closely with marketing teams to solve real business problems.
At Unilever, I worked as a Data Analyst embedded within marketing and media teams, building dashboards, automating audience creation, and translating consumer and campaign data into actionable insights.
I later joined Johnson & Johnson (Janssen) as an Analytics Engineer, focusing on ETL pipelines, scalable analytics products, and tools like KOL network analysis and sentiment tracking dashboards used by leadership and medical teams.
Alongside my professional work, I continue to deepen my technical skill set and explore AI and automation to work faster while maintaining and improving quality. Today, I work at the intersection of business, analytics engineering, and applied AI, building systems that are practical, scalable, and useful.
I had the privilege of working with

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©2025 Khaled Khatib