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Ogechukwu Sylvia Okwu
Analytics Engineer
Ready for work
Ogechukwu Sylvia is ready for their next project!
This project aims to describe the prevalence of under-5 child mortality rates in selected African countries. PowerBI was used to analyze and identify possible causes of high under-5 mortality rates, forecast the trend of under-5 mortality rates from 2020-2025, and recommend possible solutions for mitigating the under-5 mortality rate
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Analyzed Nigeria's past election data obtained from Wikipedia to gain insight into the country's electoral history.
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End-to-end data engineering project using Airflow, Spark, dbt, and GCS/BigQuery on Google Cloud Platform. Designed for easy reproducibility using GitHub Codespaces.
This project builds a fully automated, containerised data pipeline for ingesting and transforming multi-asset financial market data — with a focus on crypto prices. It was built to solve a real problem: taking raw market data delivered daily via an external API, making it reliable, queryable, and ready for analysis .
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Pokémon Data Analytics Dashboard
An end-to-end data storytelling project was built, analyzing Pokémon across types through Python-based machine learning and an interactive Power BI dashboard covering type distribution, stat clustering, and battle matchups.
Raw data was cleaned and engineered. K-Means Clustering was used to segment Pokémon by battle stats, revealing distinct performance groups dominated by specific types. Findings were presented across a 4-page interactive dashboard (Type Distribution, Cluster, Collection, Battle) .
Tools: Python (Pandas, NumPy, scikit-learn, Regex), Power BI
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