Daniel Gitimu
Data Specialist | Transcriptionist | ICT Professional
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About
Detail-oriented professional with extensive experience in Clean Verbatim transcription and data annotation. Proven ability to deliver high-accuracy datasets for AI training and legal documentation. Highly proficient in utilizing automation scripts and AI-assisted tools to optimize workflow speed without sacrificing quality. Currently pursuing technical certification in ICT to deepen expertise in digital systems and data management.
Experience
Freelance Data Annotator & Transcriptionist - Self-Employed
(2024-01)
- Consistently maintain a 90% or higher accuracy rating on major transcription and QC platforms.
- Perform Quality Control (QC) on large-scale datasets, identifying and correcting labeling errors to ensure high-quality training data for AI models.
- Develop and implement custom automation scripts to streamline repetitive browser tasks, significantly increasing workflow efficiency.
- Utilize AI-assisted "listen-and-write" workflows to generate initial drafts, followed by rigorous manual editing to meet professional formatting standards.
Digital Asset & Token Research (Independent) - Self-Employed
(2024-01)
- Monitor and manage participation in emerging digital projects and points-based reward systems.
- Analyze project whitepapers and launch metrics to assess platform viability and security.
Education
Certificate - Information and Communication Technology (ICT) - Meru National Polytechnic
