Emmanuel A.

Key Skills

Software

AWS SageMaker

Google Cloud Vertex AI

Mercor

Top Subject Matter

Banking/regulatory reporting (Basel) and operational/financial datasets

Statutory regulatory returns and compliance reporting for banking clients

Legal Services & Contract Review

Top Data Types

Text

Document

Image

Top Task Types

Data Collection

Computer Programming/Coding

Question Answering

Text Summarization

Classification

RLHF

Freelancer Overview

Data Analyst — Qucoon Limited (Aug 2025 – Nov 2025). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor of Engineering, Olusegun Agagu University of Science and Technology (2024). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Data Collection.

Labeling Experience

Analytics Engineer — Independent Contractor (Nov 2025 – Present)

Data Collection

Architected and automated statutory regulatory returns workflows for two commercial banks, converting recurring raw financial datasets into reliable, governance-aligned outputs. Developed production-grade SQL pipelines that extracted, transformed, and validated complex datasets to remove manual data handling from compliance preparation. Coordinated with stakeholders to align metric definitions with internal governance standards and maintain data integrity through schema monitoring and integrity checks. • Automated statutory regulatory returns data workflows • SQL pipeline development for ETL/ELT extraction, transformation, validation • Stakeholder alignment of metric definitions and governance standards • Schema monitoring, integrity checks, and data reliability maintenance

2025 - Present

Data Analyst — Qucoon Limited (Aug 2025 – Nov 2025)

Data Collection

Built and automated SQL-based ELT processing for a Tier-1 bank’s Basel regulatory report, emphasizing extraction, transformation, validation, and modeling of raw datasets for downstream reporting. Performed data cleaning and transformation work in preparation for analytics consumption rather than manual handling. Delivered automated data validation checks to improve data accuracy and reduce errors over recurring reporting cycles. • ELT pipeline engineering for regulatory reporting datasets • Data cleaning, transformation, and modeling using SQL and Python • Automated validation checks to reduce reporting errors • Standardization support for reporting templates across partner banks

2025 - 2025

Education

Work History