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
-
Learned how to use Excel, Google spreadsheets, SQL, R programming, Tableau, and BigQuery
-
Mastered cleaning and organizing data for analysis, and completing analysis and calculations using spreadsheets, SQL and R programming
-
Learned how to visualize and present data findings
-
Developed presentations in Powerpoint and Canva
-
Efficiently used Pandas Library in Python to effectively manage and analyze DataFrames and data sets
-
Learned ins and outs of Matplotlib library in Python to create visualizations from data
-
Created more complicated visualizations with Seaborn
-
Learned about Hierarchical Indexing
-
Merged datasets together in Pandas
-
Organized, filtered, cleaned, aggregated, and analyzed DataFrames
-
Worked proficiently with Jupyter Notebooks
-
Learned Python for Data Science and Data Analysis including Data Visualization, Probability and Statistics
-
​Studied essential Concepts and Algorithms in Machine Learning
-
Learned about key data science and machine learning concepts including Feature Engineering and Dimensionality Reduction with Python
-
Learned how to work with Jupyter Notebooks