I will clean, organize and analyze your data using python and excel
Aspiring Data Scientist
About this Gig
Are you struggling with messy data, or need clear insights from your dataset? I'm here to help!
I'm a Computer Science Engineering student with hands-on experience in Python, SQL, and Power BI. I specialize in cleaning raw data, performing analysis, and turning numbers into clear, actionable insights that make sense for your business or project.
What I offer:
Data cleaning & organizing (removing duplicates, fixing errors, structuring data)
Data analysis using Python, SQL, and Excel
Interactive Power BI dashboards with clear visualizations
Summary reports highlighting key trends and insights
Automation scripts to save you time on repetitive tasks
Why work with me:
- Clear communication throughout the project
- Clean, well-documented, and easy-to-understand deliverables
- Quick turnaround without compromising quality
- I treat every project like it's my own attention to detail matters
Whether you have a small dataset that needs a quick look, or a larger project requiring deep analysis and a full dashboard, I'm ready to help you make sense of your data.
Send me a message before ordering if you have specific requirements I'm happy to discuss your project first!
FAQ
What file formats do you accept?
I work with CSV, Excel (.xlsx), and most common data formats. If you have a different format, just message me and I'll confirm if I can work with it.
Do you sign NDAs for sensitive data?
Yes, I'm happy to sign an NDA if your data is confidential. Just share the document before we start.
Can you handle large datasets?
Yes, I can work with datasets of varying sizes. For very large or complex datasets, please message me first so I can give you an accurate timeline.
Will I get the raw dashboard file or just images?
For Power BI packages, you'll receive the full editable dashboard file (.pbix) along with exported visuals/screenshots.
What if I need revisions?
I offer revisions to make sure you're fully satisfied with the final result. Please check your package details for the number of revisions included.

