I will do data analysis, eda, and build an automated reporting pipeline

Got a dataset and no idea what it's actually saying? I'll do a thorough exploratory data analysis (EDA) in Python cleaning your data, uncovering patterns, spotting outliers, and building automated reporting pipelines that save you hours every week.

I've done this on 50,000+ transaction records, identified the top 5 revenue-driving product categories and 3 seasonal demand patterns and built automated Python pipelines that reduced manual reporting effort by ~3 hours/week while improving data accuracy across monthly dashboards.

What I deliver

• Full data cleaning: nulls, duplicates, type corrections, outlier handling
• Statistical summary: distributions, correlations, skewness, key metrics
• 10+ Matplotlib/Seaborn visualizations (trends, distributions, comparisons)
• Key findings written in plain English actionable insights, not just charts
• Automated reporting pipeline: run once, refresh anytime
• Python notebook + exported PDF/Excel report

Buyer requirements

• Your dataset: CSV, Excel, or database export
• What business questions do you want answered?
• Any specific metrics or KPIs you want tracked?
• Do you need an automated pipeline or a one-time analysis?