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Helpmecreate Capitalsix

Helpmecreate Capitalsix

Key Skills

Software

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Top Subject Matter

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Top Data Types

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Top Label Types

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Freelancer Overview

I am passionate about enhancing AI systems by delivering high-quality data labeling, annotation, and curation. My experience includes organizing, cleaning, and preparing datasets, as well as providing actionable feedback to refine AI learning processes. I have supported the end-to-end development of data-driven products, including the curation and analysis of datasets for financial technology projects, ensuring accuracy and relevance for machine learning applications. I am skilled in using data analysis and visualization tools such as Excel, Google Sheets, Python (pandas, NumPy), Tableau, and PowerBI, and I am comfortable collaborating with teams using platforms like Slack and Trello. My background in computer science, combined with hands-on experience in data quality assurance and user behavior analysis, enables me to turn complex requirements into reliable, easy-to-use datasets that improve AI performance.

Not specified

Labeling Experience

Data Annotator and AI Training Specialist

TextClassification
As a data annotator and AI training specialist, I contributed to multiple AI projects by labeling, classifying, and refining text datasets used for training and model evaluation. My work involved assessing AI-generated outputs for relevance, coherence, and factual accuracy, as well as performing intent labeling and sentiment analysis on language-based data. I maintained rigorous attention to detail to ensure data integrity, minimize bias, and support the development of multilingual and context-aware AI systems. • Completed text classification, intent labeling, and sentiment analysis for multilingual datasets (English and French). • Conducted evaluation and quality assurance on AI-generated text outputs across several projects. • Used platforms such as Prolific, Outlier, and Crowdgen to perform annotation and model feedback tasks. • Participated in annotation projects requiring sensitivity to linguistic and cultural nuances.

As a data annotator and AI training specialist, I contributed to multiple AI projects by labeling, classifying, and refining text datasets used for training and model evaluation. My work involved assessing AI-generated outputs for relevance, coherence, and factual accuracy, as well as performing intent labeling and sentiment analysis on language-based data. I maintained rigorous attention to detail to ensure data integrity, minimize bias, and support the development of multilingual and context-aware AI systems. • Completed text classification, intent labeling, and sentiment analysis for multilingual datasets (English and French). • Conducted evaluation and quality assurance on AI-generated text outputs across several projects. • Used platforms such as Prolific, Outlier, and Crowdgen to perform annotation and model feedback tasks. • Participated in annotation projects requiring sensitivity to linguistic and cultural nuances.

2022

Education

M

Massachusetts Institute of Technology (MIT)

Master of Science, Computer Science

Master of Science
2023 - 2023
U

University of California, Berkeley

Bachelor of Science, Computer Science

Bachelor of Science
2018 - 2019

Work History

S

SyrssLabs

Data Analyst

N/A
2024 - Present