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Oreoluwa Anjorin

Oreoluwa Anjorin

Data Scientist in Contract Review, Risk &Compliance, and Market Research

Nigeria flagLagos, Nigeria
$20.00/hrIntermediateOtherData Annotation TechLabel Studio

Key Skills

Software

Other
Data Annotation TechData Annotation Tech
Label StudioLabel Studio

Top Subject Matter

Contract Review
Regulatory Compliance & Risk Analysis
Research, Market & Document Analysis

Top Data Types

TextText
ImageImage
Computer Code ProgrammingComputer Code Programming

Top Task Types

Classification
RLHF
Prompt Response Writing SFT
Object Detection
Segmentation
Computer Programming Coding
Data Collection
Evaluation Rating
Text Generation

Freelancer Overview

I am a Data Analyst and Data Scientist with hands-on experience in data cleaning, preprocessing, quality assurance, and model evaluation across real-world datasets. With a background spanning marketing analytics, government data operations, and machine learning project development, I bring both technical rigor and domain breadth to AI training data workflows. My project portfolio demonstrates applied expertise in text preprocessing, sentiment labeling, classification, and pattern annotation, skills directly transferable to data annotation, RLHF (Reinforcement Learning from Human Feedback), and AI model training roles. I have worked extensively with structured and unstructured datasets, cleaning raw data, resolving labeling inconsistencies, and applying consistent annotation schemas in projects involving NLP sentiment analysis, fraud detection, and predictive modeling. My experience contributing to government data reporting pipelines (Ministry of Information, Ogun State) and marketing analytics further sharpens my ability to handle diverse, messy, real-world data at scale with precision and attention to detail.

IntermediateEnglish

Labeling Experience

Data Annotator, Ministry of Information, Ogun State

TextClassification
In my role supporting the Ministry of Information, Ogun State, I collected, cleaned, and labeled government ministry data for improved data reliability. I applied annotation standards and consistent schema across structured datasets in an operational government setting. My efforts improved workflow efficiency and enabled accurate department reporting. • Labeled and categorized structured government data for analytics and reporting. • Maintained data annotation documentation and standards across departments. • Utilized Advanced Excel and Python for annotation and dashboard building. • Enhanced data reliability through systematic quality control during labeling.

In my role supporting the Ministry of Information, Ogun State, I collected, cleaned, and labeled government ministry data for improved data reliability. I applied annotation standards and consistent schema across structured datasets in an operational government setting. My efforts improved workflow efficiency and enabled accurate department reporting. • Labeled and categorized structured government data for analytics and reporting. • Maintained data annotation documentation and standards across departments. • Utilized Advanced Excel and Python for annotation and dashboard building. • Enhanced data reliability through systematic quality control during labeling.

2023 - 2024

Data Annotator, Social Media Analytics and SEO

TextClassification
As a social media data annotator, I classified and tagged keyword categories to analyze web traffic and content engagement. My work contributed to structured content categorization in support of analytics and SEO strategies. Consistent annotation improved the accuracy of engagement assessments and trend identification. • Tagged and labeled keywords in social media text and blogs for analytics. • Applied structured schemas to content engagement data. • Supported content categorization projects with annotation best practices. • Used Advanced Excel and Python for tagging workflows relevant to AI training.

As a social media data annotator, I classified and tagged keyword categories to analyze web traffic and content engagement. My work contributed to structured content categorization in support of analytics and SEO strategies. Consistent annotation improved the accuracy of engagement assessments and trend identification. • Tagged and labeled keywords in social media text and blogs for analytics. • Applied structured schemas to content engagement data. • Supported content categorization projects with annotation best practices. • Used Advanced Excel and Python for tagging workflows relevant to AI training.

2022 - 2023

Data Annotator, E-Commerce Sentiment Analysis Classifier

TextClassification
As a data annotator on the E-Commerce Sentiment Analysis Classifier project, I labeled and classified raw product review text to train and validate an NLP model. I performed comprehensive text preprocessing, including tokenization, stop-word removal, and normalization, ensuring high label fidelity. My contributions directly supported building robust training datasets for sentiment analysis models. • Labeled product reviews with sentiment categories and handled noisy, messy text. • Applied structured classification schemas and annotation guidelines to unstructured data. • Ensured quality assurance and consistency across labeling tasks. • Utilized Python and WEKA for annotation pipeline processes and model evaluation.

As a data annotator on the E-Commerce Sentiment Analysis Classifier project, I labeled and classified raw product review text to train and validate an NLP model. I performed comprehensive text preprocessing, including tokenization, stop-word removal, and normalization, ensuring high label fidelity. My contributions directly supported building robust training datasets for sentiment analysis models. • Labeled product reviews with sentiment categories and handled noisy, messy text. • Applied structured classification schemas and annotation guidelines to unstructured data. • Ensured quality assurance and consistency across labeling tasks. • Utilized Python and WEKA for annotation pipeline processes and model evaluation.

2025

AI Training Specialist, ML Crypto Trading Engine with News Sentiment Analysis

TextRLHF
On the ML Crypto Trading Engine with News Sentiment Analysis project, I labeled financial news text for sentiment scoring as part of an AI-driven trading system. The annotated data directly supported reinforcement learning from human feedback (RLHF) and preference modeling for the trading bot. My labeling contributed to integrating sentiment signals with technical indicators for automated decision-making. • Assigned sentiment labels to news text impacting cryptocurrency trading. • Performed annotation for RLHF to enhance AI model learning in financial domains. • Used Python-based toolchains for data processing and labeling tasks. • Improved model prediction accuracy through consistent sentiment annotation.

On the ML Crypto Trading Engine with News Sentiment Analysis project, I labeled financial news text for sentiment scoring as part of an AI-driven trading system. The annotated data directly supported reinforcement learning from human feedback (RLHF) and preference modeling for the trading bot. My labeling contributed to integrating sentiment signals with technical indicators for automated decision-making. • Assigned sentiment labels to news text impacting cryptocurrency trading. • Performed annotation for RLHF to enhance AI model learning in financial domains. • Used Python-based toolchains for data processing and labeling tasks. • Improved model prediction accuracy through consistent sentiment annotation.

2024

Education

A

Aptech Learning

Certificate in Data Science, Data Science

Certificate in Data Science
2025 - 2025
R

Redeemers University Tech Space

Certificate in Information Security and Advanced UI/UX Techniques, Information Security and User Interface/User Experience Design

Certificate in Information Security and Advanced UI/UX Techniques
2023 - 2023

Work History

H

Hydroserve Group

Marketing Data Analyst and Tech Consultant

N/A
2025 - Present
M

Ministry of Information

Digital Communications and Analytics Specialist (NYSC)

Ogun State
2023 - 2024