- Cleaned and prepared data using Pandas (Python) and calculated descriptive statistics.
- Created visualizations to analyze trends: monthly revenue and profit trends with Matplotlib, profit-to-expense ratios, and correlations using Seaborn (Python).
- Built and visualized a simple predictive model (linear regression) for revenue based on expenses with scikit-learn (Python).
- Conducted outlier detection using boxplot and financial performance projections using ARIMA.
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