Isaac Adam

I’m a versatile, results-oriented Data Annotator with over 8 years of experience thriving in dynamic, fast-paced environments. I learn new processes quickly, manage multiple priorities, and focus on operational efficiency through clear communication and problem-solving.

In my Data Entry work with Orji Uzor Kalu Foundation, I streamlined client onboarding by implementing Mailchimp with other tools, cutting average completion time by 15%. I also served as a primary point of contact for 57+ clients/vendors, resolving inquiries and improving satisfaction scores by 20%, while maintaining 99% accuracy in critical databases.

As a Data Labeling Specialist with Appen (remote), I contributed to medical AI and facial recognition projects by annotating facial landmarks and attributes for biometric verification. I worked on a dataset of 20,000+ diverse facial images, consistently ranked in the top 15% for quality scores across 8 consecutive projects, and supported annotation guideline development for a facial expression recognition initiative.

More recently as a Marketing Officer (hybrid), I entered and updated 500+ records daily with 99.5% accuracy, verified discrepancies by cross-referencing source documents, and produced weekly and monthly reporting using Excel pivot tables and formulas. I align with compliance-focused work—maintaining confidential client information under data protection policies—and I’m motivated by projects like policy development and program execution that keep teams effective during change.