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St. John Okpola

St. John Okpola

Corporate Financial Analyst - Corporate Finance

NIGERIA flag
FCT-Abuja, Nigeria
$30.00/hrEntry LevelInternal Proprietary ToolingOther

Key Skills

Software

Internal/Proprietary Tooling
Other

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
TextText

Top Label Types

Audio Recording
Transcription
Classification
Computer Programming Coding
Data Collection
Relationship

Freelancer Overview

Clean audio. Consistent delivery. Done on schedule. That is what LintoTv runs on as a self-produced YouTube channel where every episode is scripted, recorded, and quality-checked without a studio team or a director. That same discipline is exactly what an AI speech training project demands, and it is already built into how I work. On the data side, a Stock Market EDA project required processing and classifying 10,000+ structured records with R programming with precision and pattern recognition, the same mindset that drives accurate, guideline-adherent labeling work. Backed by a Google Data Analytics certification, a First Class degree, and professional experience turning complex information into clean, structured outputs at the Research Analyst and Data Analyst level, the tools are already in place. What this project gets is someone who treats quality as a baseline, not a target.

Entry LevelEnglishJapaneseFrench

Labeling Experience

Scripted Audio Narration Production (LintoTv)

Internal Proprietary ToolingAudioAudio RecordingTranscription
ndependently produce scripted audio narrations for LintoTv, a self-managed YouTube channel. Every episode involves writing structured scripts, recording clean vocal audio, and performing quality control checks for clarity, tone, and pronunciation consistency before publication. This workflow mirrors AI speech data collection requirements including adherence to scripted content, consistent vocal delivery, and broadcast-quality audio output.

ndependently produce scripted audio narrations for LintoTv, a self-managed YouTube channel. Every episode involves writing structured scripts, recording clean vocal audio, and performing quality control checks for clarity, tone, and pronunciation consistency before publication. This workflow mirrors AI speech data collection requirements including adherence to scripted content, consistent vocal delivery, and broadcast-quality audio output.

2025

Global Billionaire Wealth Distribution Analysis

OtherTextRelationshipClassification
Analysed a dataset of 400+ global billionaire records using MySQL, applying structured querying and classification techniques to examine industry trends and wealth distribution patterns across regions. The project required careful organisation and categorisation of large volumes of biographical and financial data, ensuring accurate labeling of records by industry, geography, and wealth tier. This work demonstrates core data annotation competencies including structured dataset handling, categorical classification, and the ability to extract meaningful patterns from complex, multi-variable data with consistency and precision.

Analysed a dataset of 400+ global billionaire records using MySQL, applying structured querying and classification techniques to examine industry trends and wealth distribution patterns across regions. The project required careful organisation and categorisation of large volumes of biographical and financial data, ensuring accurate labeling of records by industry, geography, and wealth tier. This work demonstrates core data annotation competencies including structured dataset handling, categorical classification, and the ability to extract meaningful patterns from complex, multi-variable data with consistency and precision.

2024 - 2024

Stock Market Exploratory Data Analysis and Classification

OtherTextClassificationComputer Programming Coding
Performed exploratory data analysis on a dataset of 10,000+ stock market records using R, applying structured classification techniques to assess sector performance trends and identify risk patterns across the dataset. The project involved systematic review and categorisation of large volumes of financial data, maintaining accuracy and consistency throughout the annotation and classification process. This work directly reflects core data labeling competencies including structured data handling, pattern recognition, and quality-controlled output delivery.

Performed exploratory data analysis on a dataset of 10,000+ stock market records using R, applying structured classification techniques to assess sector performance trends and identify risk patterns across the dataset. The project involved systematic review and categorisation of large volumes of financial data, maintaining accuracy and consistency throughout the annotation and classification process. This work directly reflects core data labeling competencies including structured data handling, pattern recognition, and quality-controlled output delivery.

2024 - 2024

Education

A

Afe Babalola University

Bachelor of Science, Accounting

Bachelor of Science
2017 - 2021

Work History

G

Grovane Advisory Partners

Corporate Financial Analyst

Abuja
2024 - Present
O

Office of the Vice President, Federal Republic of Nigeria

Research Analyst

Abuja
2023 - 2024