You will get Clean & Standardize Your CSV/Excel Dataset in 2 Days

Let a pro handle the details

Buy Data Entry & Cleaning services from Xiukai, priced and ready to go.

Let a pro handle the details

Buy Data Entry & Cleaning services from Xiukai, priced and ready to go.

Project details

Got messy data? I'll clean it up so you can focus on analysis, not formatting.

As a computational physicist with a PhD, data cleaning is my daily bread — I've processed thousands of experimental datasets. I use Python (Pandas, NumPy) to:

 • Fix missing values (imputation or removal, based on your needs)
 • Detect and handle outliers
 • Standardize column names, data types, and date formats
 • Remove duplicates and inconsistent entries
 • Deliver a clean, analysis-ready CSV or Excel file

I work on a local Linux workstation with a 16-core CPU, 64 GB RAM, and an RTX 4070 Ti (12 GB VRAM) — your datasets run on real hardware, not a memory-constrained cloud notebook. For exceptionally large datasets, cloud compute available on demand.

You'll receive the cleaned dataset plus a brief summary of every change made. Need something specific? Message me before ordering and I'll confirm I can handle it.
Data Tool
Python
What's included
Service Tiers Starter
$80
Standard
$150
Advanced
$250
Delivery Time 3 days 5 days 7 days
Number of Revisions
123
Optional add-ons You can add these on the next page.
Fast Delivery
+$30 - $80
Additional Revision
+$20

Frequently asked questions

Xiukai L.Status: Offline

About Xiukai

Xiukai L.Status: Offline
Physics PhD | Python & PyTorch | PyTorch Model Development
Beijing, China - 7:27 am local time
I'm a Python engineer and computational scientist with a PhD in condensed matter physics. I specialize in building production-ready Python tools for data processing pipelines, automation scripts, scientific computing (NumPy/SciPy), and GPU-backed applications with FastAPI. My work spans everything from CSV/Excel data cleaning and ETL workflows to implementing complex deep learning models (CNNs, Transformers, energy-based models) from scratch in PyTorch — I've written 35K+ lines of PyTorch across 117 scripts.

I hold 18 patents (6 CN authorized, 1 US granted, 1 US pending) from 2.5 years of postdoctoral research at the Chinese Academy of Sciences, where I designed automated data pipelines and mathematical models for hardware-software co-design. My statistical foundation includes MCMC sampling, variational inference, and convergence diagnostics (R-hat, ESS) — applied daily in both research and engineering contexts. I write clean, documented code and prefer clear text-based communication. Currently open to fixed-price Python/data/scientific computing projects and long-term PyTorch/deep learning work. Also known as Lucien. Most development runs on my local Linux workstation (16-core CPU, 64 GB RAM, RTX 4070 Ti 12 GB VRAM) — no cloud markup for typical workloads. For projects needing more compute, I can scale up with cloud GPUs.

Steps for completing your project

After purchasing the project, send requirements so Xiukai can start the project.

Delivery time starts when Xiukai receives requirements from you.

Xiukai works on your project following the steps below.

Revisions may occur after the delivery date.

Review & confirm scope

I inspect your data, identify issues, and confirm the cleaning plan with you before starting.

Clean & validate data

Fix missing values, standardize formats, remove duplicates, and validate results against your requirements.

Review the work, release payment, and leave feedback to Xiukai.