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Freelancer Overview

I am an applied mathematician and data scientist with strong experience in AI training, data annotation, and model evaluation. My background includes hands-on work with machine learning models, predictive analytics, and optimization algorithms, as well as supporting research projects that required precise data labeling and quantitative analysis. I am highly skilled in Python, SQL, MATLAB, and data science libraries such as scikit-learn and TensorFlow, and have applied these tools to projects in healthcare (predicting obesity levels), public health (COVID-19 forecasting), and algorithmic optimization. My teaching and curriculum development experience has honed my ability to explain complex concepts clearly and validate data-driven solutions, ensuring high-quality training data and robust AI model performance. I am passionate about supporting AI development through meticulous data preparation, annotation, and evaluation across diverse domains.

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