You will get CRM Data-Cleanup & Deduplication Expert

Hasan F.Status: Offline
Hasan F.

Let a pro handle the details

Buy Data Entry & Cleaning services from Hasan, priced and ready to go.
Hasan F.Status: Offline
Hasan F.

Let a pro handle the details

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

Project details

Messy contact data drains revenue. I turn your CRM export into a 100 % import-ready file—fast, secure, and fully documented.

What you get
• Exact + fuzzy duplicates removed
• Phones converted to universal E.164 format
• “SF / San Fran.” addresses normalized to San Francisco, CA 94103
• Company spelling variants merged under one canonical name
• Clean file returned in your preferred delimiter (CSV or tilde-quoted TXT) + change log that details every fix

Why trust me
▸ 20 yrs in SQL, Excel Power Query & Python ETL
▸ Reduced bounce-rate 9 %→1 % and saved a SaaS client $6 k / yr on HubSpot fees
▸ Scaled workflow to 25 000 rows in < 90 min compute—no shortcuts, no crowdsourcing
▸ NDA on request; all processing is offline and raw files are deleted 7 days after delivery

Choose a tier or message me for a custom quote on larger datasets or API automation.
Data Tool
Python
What's included
Service Tiers Starter
$120
Standard
$300
Advanced
$550
Delivery Time 3 days 4 days 6 days
Number of Revisions
123
Optional add-ons You can add these on the next page.
Fast Delivery
+$50 - $220
Monthly Data-Hygiene Maintenance (≤ 10 k rows)
+$250

Frequently asked questions

Hasan F.Status: Offline

About Hasan

Hasan F.Status: Offline
Data Science and Analytics
Corona, United States - 8:39 pm local time
I specialize in making hard-to-digest information usable—whether that’s a 40 000-row spreadsheet or a 300-page piece of federal guidance.

What I do in plain English

Clean & standardize large datasets
– De-duplicate records, normalize phones to E.164, trim ZIP5, align company names
– Tools: Python (pandas, RapidFuzz), SQL, Excel / Power Query
– Typical output: import-ready CSV/TXT + change-log and QA summary

Translate government publications into action plans
– CMS PCUGs, Federal Register notices, grant NOFOs, FAR/DFARS updates
– Extract dates, dollar values, compliance triggers; map to decision tree and ROI model
– Deliverables: 2-page brief or 8-slide deck + Excel impact matrix

Automate repeat processes
– Build re-usable scripts/macros so the next data drop or reg update takes minutes, not days

Selected outcomes

Reduced email bounce-rate from 9 % → 1 % for a SaaS client by cleaning 25 000 contacts.

Turned a 54-page CMS budget neutrality rule into a 2-page C-suite brief, enabling a “go / no-go” call within 48 h.

Automated quarterly grant-eligibility scoring for a non-profit’s $10 M fund, cutting analyst time by 80 %.

Workflow & guarantees

Free mini-audit – I review your file or document within 2 hours and confirm scope.

Secure processing – Work is done offline; NDA on request; raw files deleted after 7 days.

Daily micro-update – You know progress in one paragraph.

Revisions included – 1 | 2 | 3 rounds depending on package.

Import / hand-off support – If an error pops on import, I fix it free.

Core stack

Excel | Power Query | SQL | Python (pandas, regex, RapidFuzz) | Tableau / Power BI
Loom for walkthroughs · Zapier / API scripting for hands-off updates

Typical clients

Healthcare providers · Gov-contractors · SaaS vendors · Universities · Non-profits—anyone who needs clear data or clear rules, fast.

If your project involves messy data or dense regulations, click Invite or message me—happy to run a free audit so you can see value before committing.

Steps for completing your project

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

Delivery time starts when Hasan receives requirements from you.

Hasan works on your project following the steps below.

Revisions may occur after the delivery date.

Data audit & confirmation

I scan the file, confirm row count, format issues, and clarify any special rules within 2 hrs.

Clean + deduplicate contacts

Run regex + RapidFuzz pipeline: remove exact/near dupes, standardize phones to E.164, fix addresses/ZIP, merge company variants.

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