ASAP Python Data Analysis

I need an experienced Python analyst who can jump in immediately and turn raw data into clear, actionable insights. The core focus is straightforward data analysis—no model-building or database overhaul this time—so I expect the work to centre on Pandas, NumPy and, where useful, basic visualisations in Matplotlib or Seaborn.

The dataset itself will be supplied as soon as we start; I’m flexible on its format (CSV, JSON, or even a quick pull from MongoDB). What matters most is speed and accuracy: I’d like preliminary findings within the first 24 hours and the full deliverable finished inside two days.

Deliverables (must-have):
• A cleaned, well-documented dataset
• A concise report (Jupyter Notebook or PDF) highlighting key statistics, trends and any anomalies you discover
• Visualisations that make the insights easy to grasp at a glance

I’m available for quick check-ins on Slack or Zoom to keep the turnaround tight. If you’ve got the bandwidth to start today and you’re confident with Python and Pandas, let’s get moving.