Open to opportunities

GOLDEN IBEKWE

@goldenibekwe

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Data Analyst and Data Engineer building toward machine learning with decision-impact pipelines.

Nigeria

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What I'm looking for

I’m looking for a role where I can own the full data pipeline, build analytics and ML that affect real decisions, and keep growing—especially in MLOps, deployment, and shipping reliable models with strong feedback loops.

I started by building dashboards, but I kept getting pulled deeper into what the data was actually saying. Through deliberate movement from data analytics into data engineering—and now toward machine learning—I focus on end-to-end work that helps real decisions, not just reporting.

In my full-time role at Range Rover Doctor, I worked across the data stack for an AI-supported vehicle diagnostics platform, designing workflows across 10,000+ vehicle service records and establishing 15+ KPIs that drove a 30% improvement in team output. I also developed ML models to predict maintenance needs, reducing unplanned downtime by 22% and generating ~$500K in annual cost savings, while building leadership-ready Tableau/Power BI dashboards. I bring the same practical energy to my volunteer data work at Dominion City Church by building ETL pipelines, a simple data warehouse schema, data quality checks, and weekly insight dashboards—because trusted data changes how teams act.

Experience

Work history, roles, and key accomplishments

Current

Volunteer Data Engineer

Current

Dominion City Church

Jan 2023 - Present (3 years 5 months)

Designed and built ETL pipelines to centralize workforce and attendance data from scattered department spreadsheets into a consistent warehouse format. Created Power BI dashboards, automated weekly data collection, implemented validation rules, and delivered monthly insights used for volunteer allocation and service planning.

Python (Pandas)SQL ETL Data Modeling Data Warehousing Power BI Data Validation

Current

Data Analyst / Data Engineer

Current

Range Rover Doctor

Jan 2022 - Present (4 years 5 months)

Built end-to-end data workflows across 10,000+ vehicle service records and established 15+ KPIs, improving team output by 30%. Developed maintenance-prediction ML that reduced unplanned downtime by 22% and generated ~$500K in annual savings, and delivered real-time Tableau/Power BI dashboards.

Python SQL Machine Learning scikit learn XGBoost SHAP Explainability Tableau Power BI Google Cloud BigQuery

IT Support Technician

Range Rover Technical Workshop

Jan 2021 - Jan 2024 (3 years)

Provided first-line technical support for a client booking/scheduling app, walking users through setup and resolving access and usage issues. Managed support requests in a ticketing system, diagnosed errors, escalated issues to the development team, and contributed to an FAQ guide that reduced repeat requests.