Esther Ikponmwosa

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Mercor

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Computer Code Programming

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Freelancer Overview

I am a data analyst with over three years of experience working with large and complex datasets across healthcare, finance, consultancy, and engineering domains. My expertise includes data validation, quality assurance, and building automated data pipelines using Python, SQL, Airflow, and dbt, which are crucial for preparing high-quality training data for AI and machine learning projects. I have a strong track record of improving data accuracy and integrity—such as validating thousands of patient records to meet NHS standards and developing ETL processes that ensure clean, well-structured datasets for analytics and reporting. My hands-on experience with data transformation, feature engineering, and cross-functional collaboration enables me to efficiently annotate, label, and prepare datasets to support AI model development and deployment. I am skilled in using tools like Excel, Power BI, and Tableau to visualize and monitor data quality, and I am committed to delivering reliable, actionable insights that drive data-driven decision-making.

Labeling Experience

AI Domain expert: Data scientist

MercorComputer Code ProgrammingClassificationQuestion Answering

Conduct rigorous analysis of complex datasets to identify trends, patterns, and actionable insights pertinent to the ecosystem (products, partners, platforms, and user interactions). Design, implement, and meticulously maintain critical metrics to accurately measure ecosystem health, growth, and engagement. Develop and execute structured experiments to rigorously evaluate new features, strategic partnerships, and ecosystem strategies. Engage closely with cross-functional teams (Product, Engineering) to formally define requirements, deliver comprehensive insights, and inform strategic decision-making. Construct sophisticated dashboards and detailed reports to effectively communicate findings to both technical and non-technical stakeholders. Provide timely, high-quality analytical responses to urgent business inquiries.

Conduct rigorous analysis of complex datasets to identify trends, patterns, and actionable insights pertinent to the ecosystem (products, partners, platforms, and user interactions). Design, implement, and meticulously maintain critical metrics to accurately measure ecosystem health, growth, and engagement. Develop and execute structured experiments to rigorously evaluate new features, strategic partnerships, and ecosystem strategies. Engage closely with cross-functional teams (Product, Engineering) to formally define requirements, deliver comprehensive insights, and inform strategic decision-making. Construct sophisticated dashboards and detailed reports to effectively communicate findings to both technical and non-technical stakeholders. Provide timely, high-quality analytical responses to urgent business inquiries.

2025

Education

Work History