I will data cleaning, eda and analysis in python pandas
AI Developer,, Data Scientist and Backend Developer
About this Gig
Struggling with messy, inconsistent, or incomplete data? I'll clean it up and turn it into clear, actionable insights.
I'm a data scientist specializing in data cleaning, preprocessing, and exploratory data analysis (EDA) using Python. Whether you have a raw CSV/Excel file full of missing values and duplicates, or a dataset you just need explored and understood, I'll handle it accurately and efficiently.
What I'll do:
Remove duplicates, fix formatting, and handle missing/null values
Detect and treat outliers
Perform exploratory data analysis with clear visualizations (histograms, correlation heatmaps, distributions, and more)
Summarize key patterns, trends, and insights in plain, easy-to-understand language
Deliver a clean, ready-to-use dataset for your reporting, modeling, or business needs
Why work with me:
Strong foundation in Python, Pandas, NumPy, and data visualization libraries
Clear communication I'll confirm scope before starting so there are no surprises
Fast, reliable delivery with attention to detail
Tools & Skills:
Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook
My Portfolio
FAQ
What file formats do you accept?
"CSV, Excel (.xlsx), and JSON. If your data is in another format, message me first and I'll confirm."
How large a dataset can you handle?
"Basic and Standard packages cover up to 5,000-10,000 rows comfortably. For larger datasets, message me before ordering so I can quote accurately."
Will you handle my data confidentially?
"Yes — your data is used only for this project and deleted after delivery unless you ask me to keep it."
What if my data needs more cleaning than expected?
"I'll review your dataset first and let you know if it needs a different package before starting — no surprise charges mid-order."
Do you provide the code/notebook, or just the cleaned file?
"Standard and Premium include the Jupyter notebook with all cleaning/analysis steps, so you can see exactly what was done and reuse it."
Can you work with data containing sensitive/personal information?
"Yes, but please anonymize any highly sensitive fields (names, IDs, etc.) before sending if possible."

