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Mercor

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Freelancer Overview

I am a mathematics graduate with a strong background in machine learning, data analysis, and quantitative modeling, particularly within financial and simulation domains. My experience includes developing and validating supervised learning models using Python, Pandas, NumPy, and Scikit-learn, as well as engineering features and evaluating model performance with metrics such as accuracy and MSE. I have worked extensively with time-series financial data, designing technical indicators and preparing data pipelines for AI-driven prediction models. My hands-on approach to building and testing models, combined with a keen attention to data quality and validation, makes me adept at ensuring high-quality training data for AI projects. I am passionate about leveraging data-driven insights to improve model accuracy and reliability in real-world applications.

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