Working on marketing analytics and data infrastructure at a Dubai-based media company, finishing an MBA in Data Analytics & AI, and building real data systems on the side, not tutorials.
I work in data analytics and marketing operations for a Dubai-based media brand, where the job spans campaign tracking, dashboards, and data pipelines. I like building tools that actually run on a schedule and hold up, not one-off notebooks.
Outside of work I'm constantly learning in whatever direction the problem takes me: AML/compliance certification, personal finance and investing, and machine learning and AI, applied through real projects rather than isolated courses.
AI-powered web app that accepts any CSV and auto-generates interactive charts, smart filters, and AI-written business insights, built with Groq's LLaMA 3.3.
Automated personal finance pipeline built with n8n. Pulls transactions from multiple sources, categorizes spending with AI, generates weekly summaries, and sends budget-alert notifications.
End-to-end analytics pipeline covering data ingestion, EDA, SQL querying, and an interactive Power BI dashboard with KPIs, trend analysis, and drill-down filtering.
Analyzed 114,000+ tracks across 114 genres to identify popularity drivers. Found 41% of high-energy tracks underperforming, a hidden opportunity flagged for music labels.
Answered 15 business questions across 830 orders in 21 countries. Top 3 customers generate 25.25% of revenue. USD 88K lost to discounts. 5 churn-risk accounts flagged.
An ELT pipeline built on IBM's synthetic AML dataset, modeled with dbt across a Bronze, Silver, Gold Medallion architecture on PostgreSQL, built to mirror how a real compliance data pipeline ingests and cleans transaction data.
If there's a role, a project, or just a good problem worth discussing, reach out.