I will do data analysis with python and sql and write a clear insights report
About this Gig
Have data but no time to dig into it? I'll analyse it with Python (pandas) and SQL and give you a short, plain-English report with charts that answers your actual questions.
WHAT I DO
- Check data quality: missing values, duplicates, outliers
- Summary statistics and distributions
- Trends over time, top and bottom performers, comparisons between groups
- SQL queries to join and aggregate tables (Premium)
- Clear charts with a one-line takeaway under each
WHAT YOU GET
- An insights report (PDF) written for non-technical readers
- Standard and Premium: the Jupyter notebook with commented code so you can re-run it
- Premium: the SQL queries as a .sql file
GOOD FOR
Sales, customer, survey, website, finance or operations data in Excel, CSV or a SQLite/SQL export.
HOW IT WORKS
- Send your data and 28 questions you want answered
- I confirm what the data can answer before starting
- You receive the report and files, and I explain anything unclear
PLEASE NOTE
- I work on files or database exports you send; I don't log in to your live systems
- Machine learning and forecasting are not included here; message me about a custom offer
Message me first and I'll recommend a package.
Expertise:
Business Insights
•
Trends
•
Statistics
Technology:
Excel
•
Jupyter Notebook
Programming language:
Python
•
SQL
FAQ
What formats can you work with?
CSV, Excel, JSON and SQL/SQLite exports. For larger datasets, message me first.
Do I need to know Python to use the results?
No. The PDF report is written in plain English. The notebook is optional extra for your technical team.
Can you connect directly to my database?
No, please send an export (CSV or .sql dump). This keeps your systems secure.
What if the data can't answer my question?
I'll tell you before starting and suggest what it can answer instead.
Do you do predictions or machine learning?
Not in these packages. For a simple model, message me with details and I'll say honestly whether it fits.

