Samuel U.

Key Skills

Software

Other

Top Subject Matter

Data analytics

Dashboards Domain Expertise

and digital literacy training

Top Data Types

Text

Document

Top Task Types

Text Generation

Data Collection

Freelancer Overview

I have experience contributing to AI training data projects involving data annotation, content evaluation, quality assurance, and guideline-based labeling across text, image, and conversational datasets. My work has required strong attention to detail, consistency, and the ability to interpret complex annotation guidelines while maintaining high accuracy. I am comfortable reviewing large volumes of data, identifying edge cases, and providing clear justifications for labeling decisions to support the development and improvement of machine learning models. My strengths include analytical thinking, quality control, and effective communication. I have experience working with structured workflows, meeting productivity targets, and adapting quickly to evolving project requirements. What sets me apart is my commitment to accuracy, ability to learn new annotation frameworks efficiently, and dedication to producing high-quality training data that improves AI system performance. I am proficient with common productivity and data management tools and can work independently while maintaining consistent quality standards.

Labeling Experience

Data Analyst & Engineer (Lifemate Nigeria Intern) – ETL and automated data pipelines (2021–2024)

OtherDocumentData Collection

Sales Performance Analysis: Used SQL to extract and analyze sales data from multiple tables, creating reports on revenue trends, top-performing products, and customer purchasing behavior. Applied joins, aggregations, and window functions to generate business insights. Data Cleaning and Validation: Wrote SQL queries to identify duplicate records, missing values, and data inconsistencies. Developed validation checks to improve data quality before analysis or AI training workflows. Customer Segmentation Project: Queried customer transaction data to group users based on purchasing patterns, frequency, and spending levels. Used SQL aggregations and filtering techniques to support marketing and business decisions. Dashboard Data Preparation: Created SQL views and queries to prepare datasets for visualization tools such as Tableau or Power BI. Optimized queries to improve reporting performance and ensure accurate metrics.

2023 - 2024

Data Analyst Intern (NYSC) – Training & Digital Literacy (2023–2024)

TextText Generation

Created automated analytics and reporting workflows in Power BI to support data-driven insights. Conducted structured ICT training that improved students’ computer literacy by 80%, applying instructional content to learners. Focused on translating analytical outputs into actionable understanding for non-expert users. • Built automated solutions with Power BI • Designed data models and architectures for analytical solutions • Delivered structured ICT training curriculum • Performed in-depth market research and analysis to inform data use cases

2023 - 2024

Education

Work History