Uncover Financial Data Insights

I’m in the early stages of launching a new enterprise and I have a sizeable set of financial data that needs a fresh pair of eyes. The objective is straightforward: dig deep into the numbers, spot hidden patterns I can act on, and highlight anything unusual that could influence my next strategic move.

You’ll receive raw transaction tables along with a brief on the business model. Using Python (think pandas, NumPy, maybe a touch of scikit-learn for exploratory modelling) and solid SQL querying, I’d like you to clean the data, explore relationships, and surface any trends or anomalies that aren’t obvious at first glance. Clear commentary in well-structured Jupyter notebooks or a similar environment is preferred so I can follow the logic step by step.

By the end, I need:
• A concise written summary of key insights and recommended actions.
• Reproducible Python/SQL scripts or notebooks with inline explanations.
• Any visualisations that make the findings immediately understandable to non-technical stakeholders.

If you enjoy asking “why” until the numbers reveal their story, this should be a satisfying project.