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Daniel
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About me
I don't just "manage" ads. I engineer them. Unlike 90% of specialists who rely on manual guessing, I use proprietary Python scripts and AI-driven analysis to audit Google Ads accounts mathematically. My Stack & Methodology: Deep Tech Audit: I use custom scripts to scan 50+ parameters that manual audits miss (Quality Score leaks, "Ghost" placements, RSA strength). 4U Protocol: I rewrite ads using "Ultra-specific" methodology, increasing CTR by 2-3x. Bot Protection: I implement logic to filter out junk traffic at the query level. Recent Case Study: Reduced CPA from $40 to $17 (-58%) for a highly competitive US Medical Clinic in 3 weeks by implementing "RSA Diversity" and script-based keyword cleaning. Ready to stop guessing and start calculating? Let's verify your account.

Work experience

Independent Consultant
January 2021 – Current time
Job title
Sr. AdTech Engineer & Google Ads Strategist
Work experience & achievements
Developing custom Python scripts for Google Ads automation. Auditing enterprise-level accounts ($50k+ monthly spend). Focusing on ROI maximization through algorithmic bid management and negative keyword mining.
Apex Digital Agency
June 2018 – December 2020
Job title
PPC Data Analyst
Work experience & achievements
Managed a portfolio of 15+ e-commerce clients. Implemented automated reporting systems (Google Ads Scripts + BigQuery). Increased average ROAS by 40% across key accounts.

Education

University of Texas at Austin
Graduation year: 2018
Level of study
Bachelor
Major / Field of study
Computer Software Engineering