About Me
I am continuing my education as I grow with this exciting career path. After taking stock of who I am and who I want to be, I realized I needed to make some changes. I stopped the path of labor-based work, which lacks growth potential, in order to pursue a career with longevity that I can be proud of. The more I learn the more I want to learn. I am genuinely excited to bring a curious, teamwork-friendly energy with me wherever this journey takes me.
Education
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Learned how to use Excel, Google spreadsheets, SQL, R programming, Tableau, and BigQuery
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Mastered cleaning and organizing data for analysis, and completing analysis and calculations using spreadsheets, SQL and R programming
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Learned how to visualize and present data findings
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Developed presentations in Powerpoint and Canva
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Efficiently used Pandas Library in Python to effectively manage and analyze DataFrames and data sets
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Learned ins and outs of Matplotlib library in Python to create visualizations from data
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Created more complicated visualizations with Seaborn
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Learned about Hierarchical Indexing
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Merged datasets together in Pandas
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Organized, filtered, cleaned, aggregated, and analyzed DataFrames
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Worked proficiently with Jupyter Notebooks
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Learned Python for Data Science and Data Analysis including Data Visualization, Probability and Statistics
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​Studied essential Concepts and Algorithms in Machine Learning
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Learned about key data science and machine learning concepts including Feature Engineering and Dimensionality Reduction with Python
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Learned how to work with Jupyter Notebooks
