Welcome to Michael's Corner

Intro

A skilled data professional with over 4 years of experience in research design, data analysis, and data visualization. Equipped with a Higher National Diploma in Agricultural Extension and Management and extensive training in data analytics tools like SQL, Python, R, Tableau, Power BI, and statistical software like SPSS and Stata.

Adept at conducting targeted surveys, analyzing data to uncover insights, and generating comprehensive reports to drive data-driven decision-making. With demonstrated ability to develop interactive dashboards and data visualizations for effective communication of complex information.

Projects

All projects are original and available for re-use under the creative commons licence. Some of the prominent ones are:

1. Analysis of Education Funding and Government Expenditure Trends in Nigeria: A Concerning Decline.: This is an article using data gathered from World Bank to investigate the Nigerian government funding in Education for a period of 10 years, spanning 2010-2022.

2.FBI Gun Data Analysis: This is a project with a dataset containing details about background checks carried out in the United States of America(USA) by the Federal Bureau of Intelligence(FBI) within a specified time period. It is one of three Udacity Nanodegree related projects.

3.Farmers' Technology Adoption Analysis:This is a personal project with objectives of: a. Investigating the factors influencing adoption of innovation among farmers(hopefully generalizable). This will be achieved through Exploratory Data Analysis b. Predicting Farmers' likelihood to adopt innovation. A model will be trained with the available data to achieve this. c. Assign individual farmers to various adoption clusters(Innovators....Laggards). Clustering will come into play, here.

4. IBM Employee Attrition Analysis: This a Beginner Project.The essence of this work is to investigate with the limited data given, the rate of employee retention at IBM and see if: i.) there are any insights to be derived ii.) it is possible to make predictions and generalisations within set limits.

5. Prosper Loan Data Analysis: Analysis of loans issued by Prosper was carried out as a part of the Udacity Data Analyst track.

6. Analysis of WeRateDogs data: This project focused more on data wrangling as a part of the Udacity data Analyst track.It involved the wrangling, analyzing, and visualizing of datasets associated with the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. From the documentation given, WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog.

7. Predicting Stock Prices: This is to demonstrate time series knowledge via prediction of stock prices from historical data, and is another beginner project inspired by Data quest.

8. Effect of Food Price Volatility on Household Food Security in Jos- North Local Government Area of Plateau State, Nigeria. This study investigated the effect of Food price volatility on food security status of households in JosNorth Local Government Area of Plateau State, Nigeria.

Contact

Send me a mail at maranatha443@gmail.com or link up with me via the media below:

• Twitter
• LinkedIn
• GitHub

Elements

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    print 'Iteration ' + i;
    deck.shuffle();
    i++;
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print 'It took ' + i + ' iterations to sort the deck.';