tinti mnene - Web Research Analyst - Pareto Group | Himalayas
tinti mneneTM
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tinti mnene

@tintimnene

Data annotation specialist with expertise in web research and analysis.

Kenya

What I'm looking for

I am looking for opportunities that allow me to leverage my data skills in a dynamic environment, focusing on continuous learning and impactful projects.

I am a dedicated data annotation specialist with a strong background in web research, consistently delivering precise outcomes under tight deadlines. My experience includes annotating extensive datasets for machine learning models, ensuring accuracy and consistency, and conducting quality control checks to maintain high standards. I thrive in collaborative environments, working closely with data scientists and engineers to refine annotation guidelines and improve processes.

In my previous role as a Web Research Analyst, I performed thorough research to collect valuable data on market trends and competitors, analyzing findings to compile comprehensive reports. My technical proficiency in tools such as Python, SQL, and various annotation platforms, combined with my strong attention to detail and problem-solving abilities, allows me to contribute effectively to any team. I am committed to continuous improvement and skill enhancement, always seeking to leverage my expertise for impactful results.

Experience

Work history, roles, and key accomplishments

CL

Data Annotation Specialist

CloudFactory Limited

May 2020 - Mar 2024 (3 years 10 months)

Responsible for annotating extensive datasets containing images and text for machine learning models, ensuring accuracy and consistency. Conducted quality control checks and collaborated with data scientists to refine annotation processes.

Education

Degrees, certifications, and relevant coursework

Jomo Kenyatta University of Agriculture and Technology logoJT

Jomo Kenyatta University of Agriculture and Technology

Bachelor of Science, Industrial Mathematics

2018 - 2024

Pursued a Bachelor of Science in Industrial Mathematics, focusing on mathematical modeling, statistical analysis, and data interpretation to solve real-world problems.

Tech stack

Software and tools used professionally

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