About Me
I am proficient in Microsoft Excel, Python, and IBM SPSS Statistics, with strong skills in data analysis, organization, and visualization. In Excel, I utilize advanced formulas, pivot tables, and charts to efficiently manage and interpret large datasets, generate reports, and support data driven decisions. Using Python, I apply libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data manipulation, automation, and statistical analysis, ensuring clean and efficient coding practices. Additionally, I am experienced in using SPSS for conducting descriptive and inferential statistical analyses, managing datasets, and interpreting results to derive meaningful insights and support research or business objectives.
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