Sep 2022 – Present · 3 yrs 9 mos · Dubai, United Arab Emirates · Hybrid

• Managed compliance for clients, tracking 30+ networks' demands to ensure timely and successful campaign launches.
• Automated daily workflows using Python, improving operational efficiency by 60-70%.
• Extracted, processed, and analyzed large datasets from diverse vendors using SQL, Python and server-based operations.
• Developed and maintained interactive dashboards tracking 15+ key performance indicators, providing real-time insights for stakeholders.
• Conducted detailed performance analysis, identifying optimization opportunities that increased revenue by 30%.
• Wrote and optimized SQL scripts to support data-driven decision-making and campaign performance tracking.
• Utilized Python scripting for API-based demand scraping, streamlining data collection and reducing manual effort.
• Led brand pacing, budget management, and campaign delivery, improving budget compliance by 27%.
• Applied statistical methods to segment audiences accurately, increasing conversion rates by 45% through targeted campaigns for specific demographics.
• Deployed basic machine learning models to automate repetitive tasks, allowing the team to focus on high-value analytics.
• Mentored junior analysts on data analytics best practices, fostering skill development and knowledge sharing.
• Collaborated with cross-functional teams and conducted stakeholder meetings to align strategies, optimize campaigns, and drive business impact.