Open to opportunities

ezekiel marangi

@ezekielmarangi

Message

I deliver accurate data annotation, transcription, and full-stack web applications for international clients.

Kenya

Message

What I'm looking for

I'm looking for remote opportunities in data annotation, transcription, data quality, or full-stack web development where I can deliver accurate work, build practical skills, and contribute to distributed teams.

I've delivered 50+ transcription, data annotation, and web development projects for international clients through Upwork and Fiverr, managing communication, scope, execution, and quality assurance end to end.

I build responsive full-stack web applications with React, Node.js, PostgreSQL, and MongoDB. My work combines practical development skills with a quality-focused approach to validation, review, and error identification.

I've annotated and labeled datasets for AI and machine learning training using Labelbox, Scale AI, and Label Studio, including quality checks, edge-case identification, and resolving labeling ambiguities with distributed teams.

I'm pursuing a BSc. in Data Science and Applied Statistics and bring careful, remote-first delivery to transcription, confidential document handling, data quality, and software projects.

Experience

Work history, roles, and key accomplishments

Current

Freelance Transcriptionist, Data Annotator, and Web Developer

Current

Upwork and Fiverr

Jan 2025 - Present (1 year 7 months)

Delivered 50+ transcription, data annotation, and web development projects for international clients with consistently high ratings. Built responsive full-stack web applications using React, Node.js, PostgreSQL, and MongoDB.

Transcription Data Annotation Web Development React Node PostgreSQL MongoDB Labelbox Scale AI Quality Assurance Client Communication Project Management

Education

Degrees, certifications, and relevant coursework

The Co-operative University of Kenya

Bachelor of Science, Data Science and Applied Statistics

Grade: 3.1/4.0

Pursuing a Bachelor of Science in Data Science and Applied Statistics with a GPA of 3.1/4.0. Coursework includes statistics, machine learning, data analysis, database systems, and programming.