SAMMY ODEYEMI
Hi!, I am a grounded and goal-oriented Computer Science professional with demonstrated expertise in Data Analytics. Skilled in SQL, R, and Power BI,
I specialize in transforming complex data into clear insights for informed decision-making.
My Portfolio
SQL x POWER BI Projects
A murder has occurred in SQL City, and the objective is to solve it as the Detective assigned. Using SQL queries to search through the Police Department Database to find clues and evidence; the goal is to identify the murderer and bring them to justice.
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This analysis delves into heart attack risk across different demographics globally, examining a comprehensive set of health metrics. The goal is to identify high-risk groups and inform targeted interventions to improve cardiovascular health outcomes globally.
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Excel Projects
This is an Analysis on Read-A-Lot Bookstore data for the year 2023. The company specializes in the sales of books. I employed Microsoft Excel to perform various operations, ranging from data cleaning up to visualization.
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This is an Analysis on Quantum Sales Solutions data for the year 2023. The company specializes in the sales of edible products. I employed Microsoft Excel to perform various operations, ranging from data cleaning up to visualization.
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This is an Analysis on the Israel-Palestine conflict and the fatalities that occurred. I employed Microsoft Excel to perform various operations, ranging from data cleaning to visualization.
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This is a Video Game Sales Analysis for Synergy Ltd. I employed Microsoft Excel to perform various operations, ranging from data cleaning to visualization.
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R Projects
This is a Health Analytics Project. I employed R and RStudio to perform Data Transformation and Visualization on various health-related variables, and also fitted multiple linear regression models to make predictions.
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This project focuses on the comprehensive process of data wrangling, utilizing R and RStudio to perform data cleaning and transformation on the FIFA 21 dataset. The primary objective was to transform raw data into a clean, structured, and analyzable format.
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This is a Data Cleaning Project for Audible. I employed R and RStudio to perform Data Cleaning, and took it a nudge further by analysing and making Visualizations.
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