Rehan Shaikh

About Rehan Shaikh

As a detail-driven Content Analyst and Ad Intelligence Classification Specialist, I bring over 4 years of experience working across the media and advertising landscape—specializing in metadata research, content segmentation, ad clipping/classification, and audio-visual content analysis. Currently contributing to Nielsen (USA), I manage the classification of print advertisements, ensuring accuracy and efficiency while supporting global teams to enhance ad intelligence systems. My previous role at Sensibol Audio Technologies saw me deeply involved in content tagging, song lyric research, and precise audio segmentation—enabling smarter metadata structuring and content searchability. In parallel, I hold several Google and US-based certifications in Digital Marketing, Google Ads (Search & Display), SEO/SEM, and campaign performance optimization. My technical expertise includes Google Analytics, CMS tools, audio analysis tools, and Core Java—allowing me to bridge the gap between content, data, and digital strategy. I thrive in collaborative environments, contribute to process improvements, and bring a sharp eye for detail that ensures quality outcomes. I\'m passionate about working at the intersection of media intelligence, digital marketing, and content analytics—continually expanding my technical skillset to stay ahead of the curve. Let’s connect if you’re looking for someone who blends data integrity, media insight, and digital expertise to drive impactful content strategies.

Experience

1. Advertisement Intelligence Classification Analyst

   Nielsen

   Jan 2024 — Present · US

   Clipped advertisements from various print sources like magazines, newspapers, and booklets, making sure they were the right size, color and positioned correctly• Carefully matched ads to the right categories in the database, ensuring each one was placed where it belonged• When an ad didn’t fit any existing category, flagged it so the UK team could create a new one, ensuring the database stayed organized• Took the time to proofread every ad detail, double-checking for any mistakes in size, positioning or description• Worked closely with other teams to improve the classification system, helping keep everything consistent and accurate• Managed ad classification tasks efficiently, making sure everything was done on time and up to standardKey Achievements:• Helped improve the accuracy of ad classifications, ensuring each ad was correctly categorized and easy to find.• Played a big part in making the classification process faster and more efficient, helping the team meet deadlines with ease.

Education

• University of Mumbai

  Bachelor of Science in Information Technology

  2015 — 2018