About Me

Hi, I'm Mirnes! I'm a recent college graduate with a passion for turning data into sound business decisions. I discovered the world of data analytics in my final year of undergrad and have become proficient in some of the leading tools in the industry - SQL, Tableau, Excel and Python. I'm seeking to leverage my skill set in data analytics to improve corporate performance and gather valuable business insight as a data analyst.

Projects

Below you will find my personal data analytics projects. Utilizing the industry-leading tools such as SQL, Tableau and Python, I obtained and visualized insights from a broad range of topics such as factors for winning NBA games using SQL and Tableau, discovering what pregnancy markers are correlated with poor fetal health outcomes in Python, along with how I go about cleaning a dataset with SQL.

NBA Data Exploration

In this project, I analyze nearly two decades of NBA box score statistics to discover what are the most important factors for winning games in MySQL.

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Interactive NBA Dashboard

In this project, I utilize the findings from the previous project to create an interactive Tableau dashboard which highlights where every team in the NBA ranks amongst the most important metrics for winning games.

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Data Cleaning in MySQL

This project aims to highlight my process for cleaning a new dataset that I am presented with. In this dataset which highlights various factors related to obesity, I perform standard data cleaning practices such as removing duplicate rows, removing irrelevant characters from fields, and populating empty strings among other techniques.

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Correlations in Python

In this project, I utilize popular data analytics libraries in Python (numpy, pandas, matplotlib, and seaborn) to discover correlations between various pregnancy markers and fetal health outcomes.

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