I will do data cleaning, data wrangling, visualization by python data science libraries

I clean, wrangle, and visualize datasets using Python's core data science stack: pandas, NumPy, Matplotlib, and Seaborn (PySpark available for larger datasets).

What I handle:

• Missing values, duplicates, inconsistent formatting, and dtype fixes
• Merging/reshaping data from multiple sources (CSV, Excel, JSON, SQL)
• Exploratory analysis and clear, presentation-ready visualizations
• Model audits reviewing existing pipelines for correctness and bias
• Technology/library recommendations for your specific dataset and goal

Who this is for: founders, analysts, and researchers who have raw or messy data and need it turned into something they can actually use a clean dataset, a chart set, or a findings summary for stakeholders.

Process: send your dataset and goal, I clean/analyze it, you get a documented notebook (or presentation deck on Premium) with clear before/after results.

Message me before ordering if your dataset is large or the analysis is non-standard happy to scope it first.