I will clean, analyze and visualize your data using python and pandas
Python, Cpp and Flutter Developer for Android, Desktop Tools and Data Analysis
À propos de ce service
Struggling with messy, disorganized, or confusing data? I'll turn it into clean, structured data and clear visual insights you can actually use.
I specialize in data cleaning, analysis, and visualization using Python so you get accurate numbers and charts that tell a clear story, not just a spreadsheet full of noise.
WHAT YOU GET:
Data cleaning remove duplicates, fix errors, handle missing values
Exploratory data analysis trends, patterns, and key insights explained in plain language
Visualizations bar charts, line graphs, pie charts, heatmaps, and dashboards
Clean, well-commented Python code (Pandas, Matplotlib, Seaborn) if you want it
A short written summary of key findings
TOOLS I USE:
Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook
WHY WORK WITH ME:
I recently built a full data analysis pipeline for real election data cleaning raw datasets, running statistical analysis, and generating visual reports. I bring that same rigor to every project, whether it's sales data, survey responses, or research datasets.
Not sure exactly what you need? Message me before ordering and I'll help you figure out the right approach free of charge.
Mon portfolio
FAQ
What file formats can you work with?
I work with CSV and Excel (.xlsx) files. Send your file and I'll confirm everything looks good before we start.
Do I need to know Python to work with you?
No — you just need to tell me what questions you want answered from your data. I'll handle the technical work and explain the results in plain language.
Can you create charts and graphs?
Yes. The Standard and Premium packages include clear visualizations (bar charts, line graphs, trend charts) built with Python and tailored to your dataset.
How large a dataset can you handle?
The Basic package covers datasets up to 500 rows. If yours is larger, message me first so I can give you an accurate timeline and quote.

