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Isaac Mwangi

@isaacmwangi1

Detail-oriented data annotation specialist with a strong analytical background.

Kenya

What I'm looking for

I am looking for a position that allows me to leverage my data annotation skills while contributing to innovative AI projects in a collaborative environment.

I am a highly motivated and detail-oriented professional specializing in data annotation and analysis. With a Bachelor's Degree in Economics and Finance from Kenyatta University, I have developed a strong foundation in data handling and quality assurance. Currently, I work as a Data Annotation Specialist, where I conduct text, image, and video annotations for machine learning projects, ensuring accurate labeling and categorization of data for AI models.

In my role, I have collaborated with research teams to improve annotation guidelines and maintain consistency across large datasets. My commitment to quality is reflected in my ability to achieve over 98% accuracy in labeling tasks. Additionally, I gained valuable experience as a Data Analyst Intern at Equity Bank, where I supported the analytics team in collecting and cleaning financial datasets, conducting preliminary data analysis, and generating insightful reports.

Experience

Work history, roles, and key accomplishments

N/
Current

Data Annotation Specialist

N/A

Jan 2023 - Present (2 years 5 months)

Conducted text, image, and video annotations for machine learning projects, ensuring accurate labelling and categorization of data for AI models. Collaborated with research teams to improve annotation guidelines and performed quality assurance, achieving over 98% accuracy.

Education

Degrees, certifications, and relevant coursework

Kenyatta University logoKU

Kenyatta University

Bachelor's Degree, Economics and Finance

2023 -

Conducted text, image, and video annotations for machine learning projects, ensuring accurate labelling and categorization of data for AI models. Collaborated with research teams to improve annotation guidelines and ensure consistency across large datasets. Performed quality assurance and validation on annotated data, achieving over 98% accuracy in labelling tasks.

Tech stack

Software and tools used professionally

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