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G

Godfrey Thuranira

FinTech Team Lead in Contract Review, Compliance, and Legal Research

USA flag
Washington, Usa
$60.00/hrIntermediateAws Sagemaker

Key Skills

Software

AWS SageMakerAWS SageMaker

Top Subject Matter

Legal Services & Contract Review
Regulatory Compliance & Risk Analysis
Legal Research & Document Analysis

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

Segmentation

Freelancer Overview

I am a data analytics and research professional with strong experience working with structured and unstructured data, data cleaning, classification, annotation, and quality control for analytical and machine learning projects. My background in business analytics, econometrics, and data science has given me extensive experience handling large datasets, labeling variables, validating data accuracy, and preparing datasets for modeling and analysis. I am highly detail-oriented, consistent, and comfortable working with guidelines to ensure high-quality labeled data for AI and machine learning applications. I have worked on multiple data projects involving data preparation, classification, tagging, text and numerical data processing, and dataset validation using tools such as Excel, Python, R, SQL, and data visualization tools. My work in analytics, research, and machine learning projects has required careful data review, pattern recognition, and quality assurance — skills that directly translate to AI training data and data labeling tasks. I am reliable, accurate, and able to follow detailed annotation guidelines while maintaining consistency across large datasets.

IntermediateEnglishSwahili

Labeling Experience

Financial Complaint Text Classification and Labeling

TextClassification
Labeled and categorized consumer financial complaint data into issue types, product categories, and severity levels for structured analysis. Reviewed large text datasets, classified complaint descriptions into predefined categories, cleaned and standardized text data, and validated labeling consistency across the dataset. The labeled dataset was later used for statistical analysis and modeling of banking risk indicators.

Labeled and categorized consumer financial complaint data into issue types, product categories, and severity levels for structured analysis. Reviewed large text datasets, classified complaint descriptions into predefined categories, cleaned and standardized text data, and validated labeling consistency across the dataset. The labeled dataset was later used for statistical analysis and modeling of banking risk indicators.

2023 - Present

Education

W

Washington University in St. Louis, Olin Business School

Master of Science, Business Analytics

Master of Science
2024 - 2025
U

University of Nairobi – School of Business

Doctor of Philosophy, Finance

Doctor of Philosophy
2016 - 2024

Work History

W

Washu Olin Business School

Teaching Assistant

St. Louis
2025 - 2025
K

Kuramo Capital Management

Summer Associate

New York
2025 - 2025