You will get clean dataset for analysis or machine learning
Project details
Are you stuck with a messy, duplicate-ridden dataset blocking your
analysis or ML pipeline? I specialize in niche data cleaning —
e-commerce catalogs, CRM exports, real estate listings, financial
CSVs, scraped data, and more.
What I'll fix for you:
✔ Remove duplicates & conflicting entries
✔ Standardize dates, phones, names & addresses
✔ Handle missing values (removal or imputation)
✔ Validate emails, URLs & phone numbers
✔ Fix column headers & data types
✔ Flag outliers & inconsistencies
✔ Merge data from multiple sources
✔ Encode categories for ML readiness
Tools: Python (Pandas, NumPy), Excel, OpenRefine, SQL.
Every delivery includes a clean output file (CSV, Excel, or JSON)
plus a summary of all changes made. Premium orders include a
reusable Python script for future use.
I've cleaned datasets for SaaS companies, researchers, e-commerce
stores, and marketing agencies — always accurate, transparent,
and fast.
📩 Message me before ordering if your dataset is large or complex
— I'll confirm scope without extra cost.
analysis or ML pipeline? I specialize in niche data cleaning —
e-commerce catalogs, CRM exports, real estate listings, financial
CSVs, scraped data, and more.
What I'll fix for you:
✔ Remove duplicates & conflicting entries
✔ Standardize dates, phones, names & addresses
✔ Handle missing values (removal or imputation)
✔ Validate emails, URLs & phone numbers
✔ Fix column headers & data types
✔ Flag outliers & inconsistencies
✔ Merge data from multiple sources
✔ Encode categories for ML readiness
Tools: Python (Pandas, NumPy), Excel, OpenRefine, SQL.
Every delivery includes a clean output file (CSV, Excel, or JSON)
plus a summary of all changes made. Premium orders include a
reusable Python script for future use.
I've cleaned datasets for SaaS companies, researchers, e-commerce
stores, and marketing agencies — always accurate, transparent,
and fast.
📩 Message me before ordering if your dataset is large or complex
— I'll confirm scope without extra cost.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$30
|
Standard
$80
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | Unlimited |
Number of Pages Mined/Scraped | 5000 | 50000 | 10000000 |
Frequently asked questions
About Am
Mangalore, India - 11:25 am local time
I build scalable, high-performance web applications and custom AI solutions that drive real business value. Whether you are a startup needing a complex, LLM-powered SaaS product from the ground up, or an established business looking to modernize your digital infrastructure, I handle the entire development lifecycle with a focus on clean architecture and tangible results.
Core Technical Expertise:
Frontend: Next.js, React, Tailwind CSS, TypeScript
Backend & Database: Python, PostgreSQL, SQL, REST APIs
AI & Automation: Large Language Models (LLMs), Prompt Engineering, RAG architectures, Playwright
Infrastructure & DevOps: CI/CD (GitHub Actions), Serverless Compute, Custom Webhooks
Business Integrations: Payment Gateways (Stripe, Dodo Payments), Subscription Management, Technical SEO
Featured Projects & Accomplishments:
SWARA (AI SaaS Platform): Architected and launched an end-to-end AI job automation platform. Engineered a proprietary matching algorithm using Llama-3.3-70b, built a robust PostgreSQL backend driven by cron-scheduled Playwright agents, and integrated secure role-based auth and freemium monetization.
B2B Digital Transformation: Spearheaded the web modernization for an established commercial distribution company. Delivered a fast, highly responsive, and SEO-optimized platform that streamlined customer inquiries and significantly boosted local search visibility.
My Approach:
I don’t just write code; I solve business problems. I understand the critical importance of secure databases, reliable webhook integrations, and systems that actually scale. I communicate clearly, stick to deadlines, and deliver production-ready products.
Let’s discuss how I can help bring your next project to life.
Steps for completing your project
After purchasing the project, send requirements so Am can start the project.
Delivery time starts when Am receives requirements from you.
Am works on your project following the steps below.
Revisions may occur after the delivery date.
Data audit
Review the uploaded dataset, identify quality issues (duplicates, nulls, formatting errors), and share a brief findings summary before starting.
Clean & transform
Remove duplicates, fix formatting, handle missing values, standardize columns, and validate data using Python (Pandas) or Excel.