Gospel I.

Key Skills

Software

Don't disclose

Top Subject Matter

Vehicle diagnostics / maintenance prediction

Workforce & attendance analytics / internal reporting

Top Data Types

Computer Code Programming

Top Task Types

Data Collection

Freelancer Overview

Data Analyst / Data Engineer — Range Rover Doctor (Remote). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Science, Federal University of Technology, Owerri (FUTO) (2018) and Data Science Bootcamp, Dev and Design. AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Data Collection.

Labeling Experience

Volunteer Data Engineer — Dominion City Church Headquarters (Lagos; Volunteer)

Don't discloseData Collection

Volunteered in data engineering for a church’s workforce and attendance reporting needs by structuring scattered spreadsheet data into a reliable dataset. Performed extraction, transformation, and loading (ETL) of departmental records into a centralized format to support analytics and dashboards. Cleaned and validated raw datasets to improve data trustworthiness for leadership decision-making. • Designed ETL pipelines to extract workforce and attendance data from multiple department spreadsheets. • Modeled a simple data warehouse schema for cross-department reporting. • Cleaned and validated datasets by resolving duplicates and standardizing dates and missing entries. • Wrote SQL to identify patterns in volunteer deployment and weekly attendance trends.

2023 - Present

Data Analyst / Data Engineer — Range Rover Doctor (Remote)

Don't discloseData Collection

Built end-to-end data workflows for an AI-supported vehicle diagnostics platform, including data collection, cleaning, annotation, and predictive analysis. Focused on preparing service-record data so downstream modeling and dashboards could use reliable, structured inputs. Supported leadership reporting with KPI tracking tied to data quality and operational performance. • Prepared and validated 10,000+ vehicle service records for modeling. • Cleaned data and supported annotation steps as part of the workflow. • Tracked 15+ KPIs to measure data quality, workflow efficiency, and performance. • Developed predictive ML models to reduce unplanned downtime and enable business impact.

2022 - Present

Education

Work History