Prudent M.

Key Skills

Software

Don't disclose

iMerit

Micro1

Mindrift

Remotasks

Scale AI

Toloka

Telus

Top Subject Matter

Blockchain and cryptocurrency community analytics (sentiment/engagement theme classification)

Cryptocurrency exchange community analytics (text-based sentiment/feedback classification)

Top Data Types

Text

Image

Document

Top Task Types

Classification

Bounding Box

Object Detection

Question Answering

RLHF

Text Summarization

Transcription

Freelancer Overview

Community Manager / Social Media Manager roles (TokenSuite, Omix, Age of Gods, BitMart Exchange) focusing on categorizin. Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Master of Science, Benson Idahosa University and Bachelor of Science, Benson Idahosa University. AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Community Manager – BitMart Exchange (ongoing): analyzing and categorizing community engagement and feedback themes.

Don't discloseTextClassification

Community engagement data across multiple digital platforms was analyzed to identify user behavior patterns that could guide retention and growth decisions. Community feedback and sentiment were summarized into actionable insights for internal teams. • Reviewed community feedback and sentiment trends. • Monitored engagement metrics and participation. • Produced regular insight reports for stakeholders. • Coordinated with internal teams to respond to emerging trends.

2021 - Present

Community Manager / Social Media Manager roles (TokenSuite, Omix, Age of Gods, BitMart Exchange) focusing on categorizing engagement and user feedback themes; no explicit AI/data-labeling tooling named.

Don't discloseTextClassification

Community interaction and sentiment were assessed by reviewing user posts and engagement signals across blockchain/crypto community channels. Users and discussions were organized into meaningful categories based on observed behavior patterns and feedback themes. • Monitored community conversations and engagement levels. • Collected and reported user sentiment and activity insights. • Tracked engagement metrics to identify recurring themes. • Produced reporting outputs to support participation and engagement strategies.

2015 - 2022

Education

Work History