John N.

Key Skills

Software

No software listed

Top Subject Matter

SQL

Programming

Business Intelligence

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

Classification

Data Collection

Computer Programming/Coding

Text Summarization

Object Detection

Evaluation/Rating

Segmentation

Freelancer Overview

Data Assistant Manager – Gold Standard Dataset Creation for Model Training & Validation. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Bournemouth University (2021) and Master of Science, Edinburgh Napier University (2020). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Data Assistant Manager – Gold Standard Dataset Creation for Model Training & Validation

Text

Developed high-level documentation and gold standard datasets for internal model training and validation. Ensured data integrity for training banking-related AI models by accurately validating data quality. Supported AI/ML teams with precise reference data used in advanced statistical model evaluation. • Led creation of validated datasets to benchmark AI model performance. • Collaborated with data science teams to ensure compliance and accuracy. • Conducted systematic reviews of labeled text data for use in model evaluation. • Streamlined documentation processes for better AI training standards.

2024 - Present

Data Analyst – Data Labeling and Categorization for ML

TextClassification

Ensured high-quality data labeling and categorization for machine learning projects. Labeled and categorized text datasets to improve model training accuracy. Applied rigorous standards for labeling consistency in all machine learning workflows. • Utilized Python and SQL for data extraction and annotation preparation. • Generated labeling schema to guide consistent text categorization. • Collaborated with data scientists to validate labeled outputs. • Enhanced model input quality through manual and systematic labeling.

2022 - 2023

Education

Work History