FaeyO

Hi there! I'm Favour, a healthcare data analyst with passion for uncovering insights through data. My skill sets are Excel, Tableau, Python and SQL.

freelancerAbuja,Nigeria

Pinned Repositories

Factors-determining-patient-readmission
Executed a comprehensive exploratory data analysis (EDA) on a diverse array of features potentially influencing patient readmission. This rigorous examination yielded insightful findings, contributing to a deeper understanding of the underlying dynamics. Employing advanced machine learning techniques.
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SQL---extracting-data-from-Electronic-Medical-Records-database
The SQL notes contains SQL query that explore the tables in the Electronic Medical Records database and creates a table of records containing patient data needed for building a Tetanus Toxoid vaccination dashboard.
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Heart-data-analysis
This note contains code cells and well documented step by step explanation and visualizations on the Heart dataset.
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The-Tetanus-toxoid-vaccination-report
The Tetanus vaccination report offers a comprehensive overview of patient vaccination trends spanning 5 years. It enables healthcare providers to track and analyze patient attendance for Tetanus vaccination.
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Patient-Medication-Error-Report
This dashboard provides information as regards error committed by healthcare professional when serving patient medications.
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Cardiovascular-disease-prediction-Application
This Application would help Patient and healthcare professional to quickly and easily identify patient that are at high risk of suffering from cardiovascular disease. Tools
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Blackcoffer-sentiment-analysis
This note contains code cells and well documented step by step explanation on using nltk in text analysis
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book-recommendation-engine
This application is created to recommend books to readers, it uses the k nearest neighbors' model in creating its prediction.
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computer-vision-bootcamp
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faey_website
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FaeyO's Repositories

FaeyO/Hospital-Emergency-Room-Visits-
This dashboard serves as a valuable tool for hospital administrators, health care providers and policymakers to monitor the utilization of emergency services and identify areas for improvement in patient care and resource allocation.
FaeyO/webscrapping_portfolio
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FaeyO/webscrapping-and-downloading-images-
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FaeyO/webscrapping-for-countries-gdp-to-debt-held
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FaeyO/webscrapping-salarysport.com-website
Language:Python
FaeyO/webscrape-and-download-pdf-file-from-bitsavers.org
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FaeyO/webscrapping-alifstores-website.
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FaeyO/webscrapping-members-detail-from-mia.org-website
Language:Python
FaeyO/webscrapping-job-vacancies-from-starbuckscareers.api
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FaeyO/webscrapping-IMDB-website
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FaeyO/webscrapping-new-movies-released-from-metacritic-website
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FaeyO/webscrapping-companies-offereing-shopify-website-service
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FaeyO/webscrapping-agent-details-from-homes.com-website
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FaeyO/webscrapping-sydney-region-properties
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FaeyO/webscrapping-collegesimply-website
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FaeyO/webscrapping-coinmarketcap-website
Language:Python
FaeyO/webscrapping-livecoin.com
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FaeyO/webscrapping-glassesshop.com-website
Language:Python
FaeyO/websrcapping-clothing-brand-website
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FaeyO/webscrapping-Nike-website
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FaeyO/computer-vision-bootcamp
Language:Jupyter Notebook
FaeyO/faey_website
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FaeyO/Sleep-Disorder-Prediction-App-deployment
This Sleep Disorder Prediction App would help health insurance company to identify whether or not a potential client is likely to have a sleep disorder. Health insurance company would be able to use this information to determine the premium they want the client to pay.
Language:Jupyter Notebook
FaeyO/Cardiovascular-disease-prediction-Application
This Application would help Patient and healthcare professional to quickly and easily identify patient that are at high risk of suffering from cardiovascular disease. Tools
Language:Jupyter Notebook
FaeyO/Readmission-Application
This Patient Readmission Application would help healthcare professional to quickly and easily detect patient that are at high risk for readmissions.
Language:Jupyter Notebook
FaeyO/SQL---extracting-data-from-Electronic-Medical-Records-database
The SQL notes contains SQL query that explore the tables in the Electronic Medical Records database and creates a table of records containing patient data needed for building a Tetanus Toxoid vaccination dashboard.
FaeyO/FaeyO
Config files for my GitHub profile.
FaeyO/Global-Cause-of-Death-2015---2019
The dashboard provides insights and offers visualizations on the various cause of death among country's, continents and the world at large from year 2015 to 2019.
FaeyO/The-Tetanus-toxoid-vaccination-report
The Tetanus vaccination report offers a comprehensive overview of patient vaccination trends spanning 5 years. It enables healthcare providers to track and analyze patient attendance for Tetanus vaccination.
FaeyO/Patient-Medication-Error-Report
This dashboard provides information as regards error committed by healthcare professional when serving patient medications.