Key Skills

Software

Appen

Data Annotation Tech

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Action Recognition

Freelancer Overview

I am a detail-oriented data science graduate with hands-on experience in data cleaning, preprocessing, and statistical analysis using Python, SQL, and Excel. Through various capstone projects and virtual internships, I have gained practical skills in preparing, annotating, and analyzing diverse datasets, including sales forecasting and SAT performance data. My experience includes feature engineering, correlation analysis, and building predictive models, all of which require meticulous data labeling and annotation to ensure high-quality training data for machine learning models. I am proficient with tools such as Pandas, NumPy, Scikit-learn, and Power BI, and excel at transforming raw data into actionable insights. My strong analytical thinking, problem-solving abilities, and commitment to data quality position me to contribute effectively to AI training data and data annotation projects.

Labeling Experience

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Work History