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Oyinkansola Afolabi
Oyinkansola Afolabi

Graduate Data Scientist

Actively looking · Member since 9 Nov 2026
Location
Birmingham, United Kingdom
Desired salary
Unspecified
Work preference
Remote Only / Full Time
Experience level
Junior

About

Professional summary

I am an Applied Artificial Intelligence MSc student at the University of Warwick and a Computer Science graduate with a 2:1 degree from the University of Bradford.

I build data pipelines, validate outputs against raw data, and turn analytical findings into practical tools that non-technical users can use.

My independent earnings-call project involved processing more than 34,000 sentences across 80 S&P 500 earnings calls, applying an AI language model, and connecting the results to share-price movements.

I value rigorous, honest analysis. I write automated checks, investigate data faults, remove unreliable records, and communicate statistically inconclusive findings with clear limitations.

My interests include data science, machine learning, natural language processing, statistical testing, data quality, and internal data products.

I am seeking a Graduate Data Scientist role where I can contribute to data pipelines, metrics, dashboards, and reliable analytical products.

Skills

20 capabilities
Algorithm DesignAlgorithmsAutomated TestingDashboard DevelopmentData AnalysisData EngineeringData MiningData PipelinesData StructuresData ValidationData VisualizationDeep LearningFinancial AnalysisJavaMachine LearningNatural Language ProcessingPrismaPythonSQLTechnical Documentation

Tech stack & tools

Working toolkit

Development

GitHub

Experience

Career history

Data Science Project Developer Independent Project

Designed and built an end-to-end earnings-call sentiment and signal analysis pipeline. Sourced and processed more than 34,000 sentences from 80 S&P 500 earnings calls, applied an AI language model for scoring, and joined the resulting data with share-price movements.

Defined metrics, event windows, and statistical tests to investigate whether management tone relates to share-price reactions. Wrote 13 automated tests, identified and corrected a data fault through raw-data validation, and excluded unreliable records.

Built and deployed a public dashboard for non-technical users. Documented a statistically inconclusive result transparently, including methodological limitations, in a README for technical and non-technical audiences.

Education

Learning history

University of Warwick

MSc, Applied Artificial Intelligence

Expected January 2027. Coursework includes Artificial Intelligence and Deep Learning, and Fundamentals of Artificial Intelligence and Data Mining. Dissertation: Algorithmic Bias and Fairness in UK Welfare Assessment Systems, a systematic literature review submitted in September 2026.

University of Bradford

BSc, Computer Science

Graduated with a 2:1 (Upper Second-Class Honours). Coursework included data structures, algorithms, and databases.

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