GOOGLE CERTIED DATA ANALYST
#DataAnalyst #SalesAnalyst #FinancialAnalyst #TreasuryAnalyst #PerformanceAnalyst #BusinessAnalyst
MACHINE LEARNING PROJECTS
MACHINE LEARNING: SPAM-HAM EMAIL/TEXT DECTECTION APP
In this model, I developed a Spam-Ham detector system that classifies a text/email as spam or ham. This model has been trained with various algorithm and the one with the highest accuracy (NAIVES_BAYES) is modelled here, it allows this model to easily clasify these texts to either be a spam; which is an unwanted text or a ham which is a wanted, proper text.
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MACHINE LEARNING: BTC_USD CLOSE PRICE PREDICTION APP
This is a personal project, In this model, I developed a stock prediction system that can predict the price of a stock. I particularly focused on the BTC-USD. I scrapped off the High, Low, closing price and Volume of BTC for each day from its invention to the 3rd March, 2023. With this data at hand, I trained the system to use this data and predict closing prices for this particular stock (BTC_USD). View this project for more information.
VIEW PROJECTBUSINESS INTELLIGENCE/POWERBI PROJECTS
HUMPHREY SALES/BUSINESS ANALYSIS (POWERBI)
A multinational company that deals in manufacturing and sales of bicycle, bicycle parts, accessories and spare parts. They have market reach in over 6 countries which includes United States of America, Australia, Germany etc. I analyzed their sales data to have an overview of the business so as to provide general insights about the business. The business owners and leaders use this to determine how viable sales strategies are, note areas that need improvement and track progress of sales ideas and strategies deployed. Overall, this analysis helps to provide pointers on revenue generating advantages of the business and to improve on these.
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COVID ANALYSIS IN EUROPE
In this project, I assembled and updated the already given dataset from Kaggle for the ravaging Corona Virus Pandemic. This is to get insights as to the number of tests and the resultant number of cases, recovery and deaths. I went as far as getting the population per 1 million for each country so as to understand the effect and the influence on countries in relation to their population.
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Knox BUSINESS ANALYSIS (POWERBI)
A multinational company that deals in sales of bicycle, bicycle parts, accessories and spare parts. They have presence in over 6 countries which includes United States of America, Australia, Germany etc. I analyzed their sales data to have an overview of the business so as to provide general insights about the business. The business owners and leaders use this to determine how viable sales strategies are, note areas that need improvement and track progress of sales ideas and strategies deployed. Overall, this analysis helps to provide pointers on revenue generating advantages of the business and to improve on these.
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WORLD CUP QATAR '22
This is a personal project as a lover of football, I decided to make a beautiful visualization that can pass as many information as needed from the tournament to individuals. The insights include the highest goal scorer, country with the highest goals, and most booked countries and players and countries with highest efforts, set pieces and other football metrics to score e.g corner kicks etc.
VIEW PROJECTPYTHON PROJECTS
#greenwoodOUT Analysis
This is a personal project I embarked on to get the tweet insights about a particular #tag on twitter, It was gathered that a certian Man united player was alleged to have raped his girlfriend which cost him his job and public opinion. After a year, all charges against him were dropped and to get back to the team became a problem. Using python tweet scrapper on Jupyter notebook I tracked the level of engagments the tweet received. The insights gathered are so important as the parties(Team and player) in question can use to guide their decision making and get the wider public opinion on the issue on ground.
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BUSINESS ANALYSIS FOR INTERNATIONAL BREWERY
This is a business analysis for the yearly sales transaction for an INTERNATIONAL BREWERY COMPANY with its branch in Lagos, Nigeria. I analyzed their total sales, revenue and gathereed insights as to volume of sales gathered from each depot and also sales and profit percent according to truck ownership to calculate the effectiveness. Also, insights as to the efficiency of each depot and trucksize effects on revenue.
VIEW PROJECTCurriculum Vitae
Michael is a passionate analyst with over 6 years experience handling data, and drawing insightful inferences for business growth and strategy decision making. He has vast experience in building models in machine learning in the real estate, manufacturing, sports and healthcare industry using the K-NEAREST NEIGHBOUR, Logistics Regression and Naives Bayes Models. With deep understanding of tools and apps like SQL, Spreadsheet, PowerBI and Python, Michael has the ability to manipulate data, draw insights and make visualization on datasets.
CERTIFIED DATA SCIENTIST
#Python #MachineLearning #SQL #DataScience #DataManipulation #DataWrangling #DataDocumentation