Python Financial Trend Analysis

I have a set of raw financial data that I need cleaned, explored, and transformed into clear trend insights. The job is squarely in the Data Analysis space, and Python is the language I want everything built in.

Here is what I’m after:
• Import and tidy the financial data (CSV and/or Excel).
• Run a thorough Trend Analysis—identify seasonality, growth or decline patterns, and any statistically significant shifts over time.
• Produce easy-to-read visualizations (Matplotlib, Seaborn or Plotly are all fine) and a concise narrative summary of your findings.

I’ll consider the work complete when I receive:
1. Well-commented Python scripts or Jupyter Notebook that reproduces the analysis end-to-end.
2. The generated charts in PNG or embedded in the notebook.
3. A short written brief (PDF or Markdown) explaining the key trends uncovered and how you arrived at them.

If you’re comfortable working with Pandas, NumPy, statsmodels, or similar toolkits and can turn around clear, reproducible insight, I’m ready to get started.