You will get Clean and prep datasets for analysis or ML projects.
Project details
“I transform messy, inconsistent datasets into clean, reliable, and analysis-ready assets using Python and professional data preprocessing techniques. I don’t just remove errors, NaNs, or duplicates—I standardize, validate, and recalculate critical fields like totals and numeric columns to ensure accuracy. Each project includes clear before-and-after comparisons, so you can see exactly how much cleaner and more usable your data has become. My approach is tailored to your dataset: I handle categorical and numeric columns differently, account for outliers, and deliver outputs in CSV, Excel, or your preferred format. With visual insights, thorough documentation, and a focus on data integrity, my work doesn’t just prepare your data for reports or analysis—it elevates it. Unlike generic cleaning services, I provide transparent, reproducible workflows that clients can understand, trust, and reuse. Whether it’s e-commerce sales data, financial records, or custom datasets, I ensure every row is accurate, every calculation is reliable, and your dataset is ready for actionable insights or machine learning projects.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$35
|
Advanced
$65
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 1 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$5About Nischal
Data Scientist Associate
Pokhara, Nepal - 1:51 am local time
What I’m Learning & Practicing:
Python (Pandas, NumPy, scikit-learn, Matplotlib)
Data Cleaning, Preprocessing, and Visualization
Exploratory Data Analysis (EDA)
Basic ML Models (classification, regression, clustering)
Git & GitHub workflows
Why Work With Me:
I may be early in my journey, but I take projects seriously. Every task is an opportunity to sharpen my skills and deliver something that actually helps clients. You’ll get consistent communication, dedication, and fresh perspective.
If you’re open to working with a motivated learner who grows with each project, let’s connect and get started.
Steps for completing your project
After purchasing the project, send requirements so Nischal can start the project.
Delivery time starts when Nischal receives requirements from you.
Nischal works on your project following the steps below.
Revisions may occur after the delivery date.
Receive Your Dataset
Initial Review