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Akinwunmi Sodiq

@akinwunmisodiq

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Data scientist at IBM who developed a Python signal-generation system with Binance API data and backtesting filters.

United States

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At IBM, I cleaned and analyzed datasets with Python and SQL, applied statistical analysis and machine learning, and created dashboards to share findings with non-technical stakeholders.

I developed a Python signal-generation system integrated with the Binance API, using multiple indicators and backtesting filters. I also built an automated Playwright and Node.js crawler to detect website bugs and speed up test coverage.

As an AI Evaluator & Data Annotator, I reviewed LLM responses and annotated text against project guidelines, including English and Yoruba linguistic review. I also researched, wrote, and self-published From Zero to Wealthy through Amazon KDP.

Experience

Work history, roles, and key accomplishments

AI Evaluator & Data Annotator

DataAnnotationtech

Evaluated responses from large language models for accuracy, relevance, clarity, reasoning quality, and safety against detailed project guidelines. Labeled and annotated text data with consistent, guideline-compliant judgments to support machine learning model training.

LLM Evaluation Data Annotation Data Labeling Linguistic Annotation Quality Assurance Guideline Adherence Attention To Detail English Yoruba

Software QA Tester

Microsoft

Executed functional and exploratory tests on live mobile and web applications across multiple crowdtesting platforms. Submitted clear, reproducible bug reports with steps, evidence, and severity assessment.

Software Testing Functional Testing Exploratory testing Bug Reporting Test documentation Crowd Testing

Data Scientist, Data Analyst & Business Analyst

IBM

Cleaned, structured, and analyzed datasets using Python, SQL, pandas, Excel, and Tableau to produce actionable business insights. Applied statistical analysis and machine learning models built with scikit-learn to identify patterns, test hypotheses, and support data-driven decisions.