You will get Clean and standardize your CRM or lead database
Project details
I provide a safety-first CRM and lead-data quality service for businesses that need cleaner, more reliable records without unsafe automatic guessing.
Your dataset can be cleaned and standardized across fields such as email, phone, dates, locations, lead status, lead source, numeric values, and other CRM fields. I also validate important data, identify duplicate candidates, and separate uncertain records for human review.
Depending on the package, deliverables can include cleaned CRM data, a review-required file, duplicate candidate report, audit log, and data-quality report.
The workflow is designed to preserve unknown and custom CRM fields. It has 388 automated tests passing and has been benchmark-tested with up to 100,000 CRM records.
Best for CRM cleanup, lead-list cleanup, CRM migration preparation, import preparation, duplicate investigation, and recurring data-quality work.
Your dataset can be cleaned and standardized across fields such as email, phone, dates, locations, lead status, lead source, numeric values, and other CRM fields. I also validate important data, identify duplicate candidates, and separate uncertain records for human review.
Depending on the package, deliverables can include cleaned CRM data, a review-required file, duplicate candidate report, audit log, and data-quality report.
The workflow is designed to preserve unknown and custom CRM fields. It has 388 automated tests passing and has been benchmark-tested with up to 100,000 CRM records.
Best for CRM cleanup, lead-list cleanup, CRM migration preparation, import preparation, duplicate investigation, and recurring data-quality work.
Data Entry Type
Data Cleansing, Error DetectionData Entry Tool
CRM Software, Google Sheets, Microsoft ExcelWhat's included
| Service Tiers |
Starter
$99
|
Standard
$249
|
Advanced
$499
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 5 days |
Number of Revisions | 1 | 1 | 1 |
Number of Hours of Work | 4 | 10 | 20 |
Formatting & Clean Up | |||
Graph & Table Creation | - | - | - |
Frequently asked questions
About Mohit
Data Cleaning & Data Quality Specialist | Python, Excel, pandas
Jaipur, India - 6:22 am local time
I specialize in data cleaning, data quality, validation, standardization, duplicate detection, and audit-ready delivery using Python, pandas, Excel, and structured quality-control workflows.
My approach is safety-first:
Clean what is safe. Flag what is uncertain. Preserve what should not be guessed.
I have built specialized data-quality systems for:
• CRM and lead databases
• E-commerce product catalogs
• Real estate property and listing data
• Marketing and campaign data
• Recruitment, candidate, and ATS data
Depending on your dataset, I can help with:
• Data cleaning and standardization
• Missing, malformed, and invalid value detection
• Duplicate and potential-duplicate investigation
• Email, phone, date, location, URL, and category cleanup
• Product, SKU, pricing, inventory, barcode, and variant validation
• Candidate and ATS field quality checks
• Review queues for ambiguous or uncertain records
• Privacy-conscious audit logs of safe transformations
• Explainable data-quality scoring and reporting
• CSV, XLSX, and XLS processing
• Preservation of custom and unknown business fields
My portfolio systems have completed extensive automated engineering validation, including 1,530 automated tests across five specialized data-quality projects, benchmark testing on datasets up to 100,000 records, and large-file qualification with controlled input-size protection.
I do not blindly overwrite uncertain values, invent missing business information, or automatically merge questionable duplicate records.
Typical projects include database cleanup, CRM cleanup, ATS cleanup, migration preparation, import/export cleanup, duplicate investigation, product catalog cleanup, marketing-data standardization, and recurring data-quality workflows.
If you have a messy business dataset, I can review its structure and define a practical, safety-first cleaning scope before processing.
Steps for completing your project
After purchasing the project, send requirements so Mohit can start the project.
Delivery time starts when Mohit receives requirements from you.
Mohit works on your project following the steps below.
Revisions may occur after the delivery date.
Review and profile your CRM data
I inspect the dataset structure, columns, missing values, formatting problems, and project scope before applying cleaning rules.
Clean and standardize safe values
I apply safe cleaning and standardization rules to relevant CRM fields while preserving important and custom information.