I will clean analyze and visualize your data using python and excel
Power BI and Data Science Expert Python, SQL, ML, AI Automation
About this Gig
Messy spreadsheet or raw dataset with no clear insights yet? I'll clean
it up and turn it into something you can actually use fast.
WHAT I DELIVER:
- Data cleaning remove duplicates, fix formatting, correct errors
- Missing value handling
- Exploratory Data Analysis (EDA) with clear visuals
- Summary statistics & key insights
- Charts and graphs trends, comparisons, distributions
- Clean, organized Excel or CSV output
TOOLS:
Python (Pandas, NumPy, Matplotlib) | Excel | Google Sheets | SQL
WHY WORK WITH ME:
I'm a Data Scientist who works with messy, real-world data daily. My
focus is fast, accurate turnaround no over-complicated deliverables,
just clean data and clear answers to your questions.
WHO THIS IS FOR:
Small businesses, students, researchers, or anyone with a spreadsheet
that needs to be cleaned, understood, or turned into a quick report
no machine learning required.
Have a larger or more technical project (ML models, dashboards,
automation)? Check my other gigs, or message me and I'll point you in
the right direction.
My Portfolio
FAQ
What file formats do you accept?
CSV, Excel (.xlsx), or Google Sheets. If your data is in another format, just message me first.
: What counts as one "row" or "item"?
Each row in your dataset (e.g., one customer, one transaction, one entry) counts as one item cleaned.
My dataset has more rows than the Premium limit. Can you still help?
Yes message me your row count before ordering and I'll send a custom offer.
Do you build machine learning models or dashboards on this gig?
No this gig covers cleaning, analysis, and visualization only. Check my other gigs for ML models or Power BI dashboards.
Can you find specific insights, not just general cleaning?
Yes tell me your question (e.g., "show monthly sales trends") and I'll tailor the analysis on Standard/Premium tiers. A couple of notes: Keep these concise Fiverr buyers skim FAQs, they don't read them like documentation The "more rows than Premium" FAQ is useful because it pre-handles a common.

