Michael Kinyanjui

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Video

Top Label Types

Point Key Point

Entity Ner Classification

Segmentation

Freelancer Overview

I am a mathematics specialist with over six years of experience in quantitative analytics, university-level instruction, and AI training, including designing rigorous problem sets and structured solution guides. My background includes developing and curating high-quality datasets, applying advanced mathematical modeling, and mentoring teams in both academic and industry settings. I am highly skilled in Python (NumPy, pandas, scikit-learn), R, MATLAB, and SQL, and have extensive experience with remote collaboration tools and content design. I excel at ensuring data accuracy, logical consistency, and clear documentation, and am adept at translating complex mathematical concepts into actionable training data for AI and machine learning applications. My experience spans financial modeling, risk analytics, and educational content, making me well-equipped to contribute to diverse data labeling and annotation projects.

Labeling Experience

Video Data Annotation for AI Model Training

AppenVideoPoint Key PointEntity Ner Classification

Labeled and annotated hundreds of video clips with precise object, action, and scene categorization. Applied structured multi-step labeling protocols to ensure consistency and accuracy. Verified AI outputs against ground truth; corrected errors and refined annotation guidelines. Integrated quantitative checks using Python to validate numerical or mathematical data in simulations. Collaborated remotely with QA teams to maintain 99%+ labeling accuracy.

Labeled and annotated hundreds of video clips with precise object, action, and scene categorization. Applied structured multi-step labeling protocols to ensure consistency and accuracy. Verified AI outputs against ground truth; corrected errors and refined annotation guidelines. Integrated quantitative checks using Python to validate numerical or mathematical data in simulations. Collaborated remotely with QA teams to maintain 99%+ labeling accuracy.

2020 - 2025

Education

Work History