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Emmanuel Nwanguma

@emmanuelnwanguma

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Data Scientist and ML Engineer building production-ready ML systems that drive measurable business impact.

Nigeria

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What I'm looking for

I seek a role building production ML systems and MLOps pipelines at a collaborative, data-driven company where I can expand deployment skills and deliver measurable impact.

I am a passionate Data Scientist and ML Engineer with hands-on experience developing end-to-end machine learning systems, from data exploration and feature engineering to model deployment and explainability. I have built and deployed FastAPI services, Streamlit dashboards, and containerized solutions using Docker, while tracking experiments with MLflow to deliver reproducible, production-ready pipelines.

My background includes healthcare and analytics roles where I maintained high data quality for clinical decision-making and collaborated on reusable data workflows and dashboards. I publish technical writing on AI/ML, and I am expanding my MLOps and deployment skills while focusing on delivering measurable business value through robust analytics and responsible model development.

Experience

Work history, roles, and key accomplishments

Data Entry Clerk

Mido Health Diagnostic

Nov 2022 - May 2025 (2 years 6 months)

Entered and validated high-volume laboratory test results (hundreds daily), implemented routine data quality checks that reduced manual corrections and improved reliability of clinical reports while ensuring strict patient data confidentiality.

Data Entry Data Validation Data Quality Excel Attention To Detail

Data Analyst Intern

Acme Software Lab

Jan 2024 - Apr 2024 (3 months)

Collaborated on reusable data preparation workflows, built dashboards and reports to track key metrics, and supported exploratory data analysis that informed feature selection for analytics and ML experiments.

Data Cleaning Data Visualization Dashboards SQL Documentation

Data Entry & Records Assistant

Ministry of Health, Osogbo

Oct 2021 - Oct 2022 (1 year)

Maintained and updated structured patient records, organized physical and digital files to improve retrieval time, and supported reporting tasks that summarized patient volumes and visit patterns for supervisors.

Records Management Data Entry Reporting File Organization Administrative Support