I will clean and analyze your excel or CSV data using python
Data Analyst and Python Automation Developer ,Custom Dashboards
About this Gig
Are you struggling with messy, unorganised data? I will help you clean, analyse, and make sense of your Excel or CSV data using Python!
What I will do for you:
- Remove duplicate rows and fix missing values
- Fix inconsistent formatting and structural errors
- Perform exploratory data analysis (EDA)
- Create clear charts and visualisations
- Deliver clean, ready-to-use data files
- Provide key insights from your data
What you need to send me:
- Your Excel or CSV file
- A brief description of what you need done
Why work with me:
- Specialised Data Science background with advanced Python and Pandas expertise
- Kaggle certified in Python, Pandas, and Machine Learning
- Fast, 24-hour turnaround options with clear communication
- Structured packages designed to protect your project timeline
Tools I use: Python | Pandas | Matplotlib | Seaborn | Jupyter Notebook | Streamlit
From simple spreadsheets to complex datasets, I will deliver clean, professional results on time.
..Order now and let's turn your messy data into meaningful insights!
LIMITED TIME BONUS: Every order this week includes a free basic layout check to ensure your data formatting is 100% reader ready for presentations!
FAQ
What file formats do you accept?
I accept CSV, Excel (.xlsx, .xls) and Google Sheets exports
What if I am not satisfied?
I offer revisions until you are completely happy with the result.
How do I get started?
Simply order and send me your file with a brief description of what you need cleaned or analyzed.
How long will it take to complete my order?
Basic orders are delivered within 24 hours. For larger datasets or complex analysis, I will communicate the timeline upfront before starting.
What if my dataset is very large?
For datasets above 10,000 rows please contact me before ordering so I can suggest the right package for your needs.
Will I get the Python code along with results?
Yes! Every order includes the cleaned dataset AND the Python code used, so you can reuse or modify it anytime.

