Chimuamaka Maduakor

Key Skills

Software

Supervisely

Google Cloud Vertex AI

AWS SageMaker

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Classification

Freelancer Overview

With over 6 years of experience in digital marketing and automation, I have developed advanced skills in managing, segmenting, and optimizing large-scale data sets, particularly for e-commerce and service-based businesses. My work has involved building and maintaining complex automation workflows, configuring detailed segmentation and targeting rules, and ensuring data quality and compliance across multiple CRM and marketing platforms. I am highly proficient in tools such as Klaviyo, HubSpot, ActiveCampaign, and Google Analytics, and have a strong background in quality assurance, data validation, and performance optimization. My experience collaborating with remote, international teams has strengthened my attention to detail and ability to document, review, and improve data processes—skills that translate well to data labeling, annotation, and AI training data roles. I am passionate about leveraging my analytical abilities and process-driven mindset to contribute to high-quality, accurate data pipelines that power AI and machine learning solutions.

Labeling Experience

Data Validation & Automation QA Specialist

Google Cloud Vertex AITextClassification

Performed pre-launch validation and quality assurance for segmentation and rule-based datasets. Assessed accuracy of behavioral classifications, exclusion logic, and data personalization fields. Maintained structured reporting on errors, corrections, and validation outcomes. • Reviewed and tested behavioral data triggers for classification accuracy. • Validated personalized field mapping and timing logic within datasets. • Flagged discrepancies and corrected misalignments and logic errors. • Prepared validation documentation for reporting QA findings and results.

Performed pre-launch validation and quality assurance for segmentation and rule-based datasets. Assessed accuracy of behavioral classifications, exclusion logic, and data personalization fields. Maintained structured reporting on errors, corrections, and validation outcomes. • Reviewed and tested behavioral data triggers for classification accuracy. • Validated personalized field mapping and timing logic within datasets. • Flagged discrepancies and corrected misalignments and logic errors. • Prepared validation documentation for reporting QA findings and results.

2024 - 2025

Data Classification & Process QA Lead

Google Cloud Vertex AITextClassification

Led data annotation and validation processes for multiple client systems, designing tagging taxonomies and segmentation frameworks. Standardized classification systems and ensured dataset consistency with established rules. Directed distributed team adherence to process guidelines within automation workflows. • Designed and implemented tagging structures for behavioral and client data segmentation. • Reviewed annotated datasets for compliance, consistency, and error identification. • Created documentation for workflow testing and anomaly reporting. • Enforced process standards and structured QA practices across teams.

Led data annotation and validation processes for multiple client systems, designing tagging taxonomies and segmentation frameworks. Standardized classification systems and ensured dataset consistency with established rules. Directed distributed team adherence to process guidelines within automation workflows. • Designed and implemented tagging structures for behavioral and client data segmentation. • Reviewed annotated datasets for compliance, consistency, and error identification. • Created documentation for workflow testing and anomaly reporting. • Enforced process standards and structured QA practices across teams.

2024 - 2025

Data Segmentation & Annotation Specialist (Freelance)

Aws SagemakerTextClassification

Classified customer data and behaviors using tagging systems and lifecycle-based segmentation. Conducted dataset audits and conditional logic testing to optimize classification workflows. Verified dataset responses through A/B validation and inconsistency removal. • Applied behavioral tagging to classify engagement patterns and customer segments. • Audited datasets for duplication and consistency issues. • Tested workflow logic and validated classification rule sets. • Analyzed results with systematic A/B testing for classification performance.

Classified customer data and behaviors using tagging systems and lifecycle-based segmentation. Conducted dataset audits and conditional logic testing to optimize classification workflows. Verified dataset responses through A/B validation and inconsistency removal. • Applied behavioral tagging to classify engagement patterns and customer segments. • Audited datasets for duplication and consistency issues. • Tested workflow logic and validated classification rule sets. • Analyzed results with systematic A/B testing for classification performance.

2023 - 2025

Data Annotation & QA Specialist (Email & CRM Systems)

SuperviselyTextClassification

Managed large-scale behavioral datasets and performed quality assurance on data segmentations and workflow integrity. Executed data labeling tasks to classify customer interactions based on behavioral attributes. Conducted logic validation and dataset hygiene maintenance for email and CRM systems. • Labeled and validated structured customer datasets ensuring accuracy and completeness. • Applied rule-based segmentation logic to classify user behaviors and lifecycle stages. • Conducted QA testing for logic errors and trigger failures before automation deployment. • Documented workflow logic and tagging structures for internal reference.

Managed large-scale behavioral datasets and performed quality assurance on data segmentations and workflow integrity. Executed data labeling tasks to classify customer interactions based on behavioral attributes. Conducted logic validation and dataset hygiene maintenance for email and CRM systems. • Labeled and validated structured customer datasets ensuring accuracy and completeness. • Applied rule-based segmentation logic to classify user behaviors and lifecycle stages. • Conducted QA testing for logic errors and trigger failures before automation deployment. • Documented workflow logic and tagging structures for internal reference.

2022 - 2025

Education

Work History