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Pamella Ishiwu

@pamellaishiwu

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I build reliable AI training datasets and actionable dashboards using Python, SQL, Power BI, and Tableau.

Nigeria

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What I'm looking for

I'm looking for remote or part-time data analytics, AI data annotation, or machine learning data roles where I can improve dataset quality, build useful insights, and contribute to ethical, safe AI systems.

I've delivered freelance data analysis and annotation projects through Upwork and independent remote engagements since 2023, building KPI dashboards in Power BI and Tableau while preparing reliable data from APIs, spreadsheets, and databases.

I use Python, pandas, NumPy, and SQL to explore large datasets, automate recurring workflows, and develop regression, classification, and clustering analyses. My work improved data reliability by over 30% and reduced manual reporting time by approximately 40%.

I've also supported AI research and startup projects through image, video, audio, and text annotation, including object detection, sentiment analysis, intent classification, and named entity recognition. I care deeply about AI ethics and safety, quality assurance, and creating diverse, high-integrity datasets for machine learning.

Experience

Work history, roles, and key accomplishments

Current

Data Annotation Specialist

Current

Upwork

Jan 2023 - Present (3 years 8 months)

Performed data annotation and labeling for AI training datasets, including object detection in images and videos for computer vision models, achieving 95% accuracy in quality checks. Conducted pairwise comparisons of AI-generated content to evaluate relevance, coherence, and safety, directly supporting improvements to AI output quality.

Data Annotation Object Detection Computer Vision Quality Assurance Pairwise Comparisons data preprocessing Web Scraping Sentiment Analysis Remote Collaboration

Education

Degrees, certifications, and relevant coursework

Johannes Kepler University Linz

Master of Science, Artificial Intelligence

Pursued a Master's degree in Artificial Intelligence, focusing on machine learning, data mining, and natural language processing.

Federal University of Technology Owerri

Bachelor of Engineering, Agricultural Engineering

Grade: 3.8 / 4.0

Activities and societies: Capstone project: Developed a data annotation pipeline for image classification, involving collection, labeling, and evaluation of 5,000+ samples.

Earned a Bachelor's degree in Agricultural Engineering, with coursework in data analytics, database management, and statistical methods.