You will get an AI-powered data enrichment and classification system
Top Rated
Project details
You have raw data that's messy, incomplete, or unclassified. I build Python systems that collect, enrich, and classify your data using AI — delivering clean, structured, ready-to-use datasets.
What I deliver:
• Automated data collection from websites, APIs, PDFs, or spreadsheets
• AI-powered classification for records that rules alone can't handle
• Multi-source enrichment with cross-referencing and validation
• Deduplication, cleaning, and confidence scoring
• Final output in Excel/CSV with full documentation
This is not basic scraping. I build reliable data pipelines with error handling, checkpoint/resume capability, and detailed logging — so every record is accounted for.
Ideal for:
• Real estate investors enriching property or tenant data
• Sales teams building qualified, classified lead lists
• Researchers collecting and categorizing public records
• Anyone turning messy raw data into structured business intelligence
My process: I test on a small sample first so you can verify accuracy before I scale to the full dataset. You only pay for results you approve.
Every project includes the source code and documentation — you own the system, not just the output.
What I deliver:
• Automated data collection from websites, APIs, PDFs, or spreadsheets
• AI-powered classification for records that rules alone can't handle
• Multi-source enrichment with cross-referencing and validation
• Deduplication, cleaning, and confidence scoring
• Final output in Excel/CSV with full documentation
This is not basic scraping. I build reliable data pipelines with error handling, checkpoint/resume capability, and detailed logging — so every record is accounted for.
Ideal for:
• Real estate investors enriching property or tenant data
• Sales teams building qualified, classified lead lists
• Researchers collecting and categorizing public records
• Anyone turning messy raw data into structured business intelligence
My process: I test on a small sample first so you can verify accuracy before I scale to the full dataset. You only pay for results you approve.
Every project includes the source code and documentation — you own the system, not just the output.
What's included
| Service Tiers |
Starter
$75
|
Standard
$200
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Number of Revisions | 1 | 2 | 3 |
Frequently asked questions
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KS
Katie S.
Apr 17, 2026
UK nonprofit database
JT
James T.
Apr 2, 2026
Skip Trace / Phone Append Project
Melad did an excellent job on a phone append and compliance-focused data project.
He delivered a strong match rate on mobile numbers and went beyond basic enrichment by performing a thorough DNC scrub across Federal, State, DMA, and TCPA litigator databases. The final dataset was well-structured, including a clear “best phone” column, color-coded call status, and litigator flags making it immediately usable for outreach while maintaining compliance standards.
Communication was smooth, turnaround was efficient, and the level of detail in the output showed strong understanding of both data quality and practical use in a calling environment.
Highly recommend for phone append, data enrichment, and compliance-sensitive lead generation work.
He delivered a strong match rate on mobile numbers and went beyond basic enrichment by performing a thorough DNC scrub across Federal, State, DMA, and TCPA litigator databases. The final dataset was well-structured, including a clear “best phone” column, color-coded call status, and litigator flags making it immediately usable for outreach while maintaining compliance standards.
Communication was smooth, turnaround was efficient, and the level of detail in the output showed strong understanding of both data quality and practical use in a calling environment.
Highly recommend for phone append, data enrichment, and compliance-sensitive lead generation work.
JT
James T.
Mar 30, 2026
Public Records Lead Research (Iowa Agriculture) - Proof of Concept for Ongoing Work
Melad was excellent to work with and I look forward to working with him again. He's extremely talented, efficient, and very helpful with moving from concept to production work, providing valuable insight along the way.
MA
Moe A.
Mar 14, 2026
Pull Single-Family Home Addresses from County Property Appraiser Records (FL) - Print-Ready Format
Melad did a fantastic job scraping leads for me. He was quick and super helpful. Highly recommend!
JS
Jane S.
Mar 11, 2026
Excel Specialist Needed to Build Locked Quoting Calculator (Functional, No Design Work)
Melad was fantastic to work with. He displayed great attention to detail, was quick to respond and completed the project to a very high professional standard.
About Melad
Senior Data Engineer | Python, APIs & Automation
100%
Job Success
Qina, Egypt - 1:44 pm local time
My background is electrical engineering with 12+ years designing complex medical device systems, where correctness isn't optional. That discipline carries into every pipeline I ship: schema-first design, source-traceable outputs, explicit validation, and documentation your team can actually use.
Core work:
• Data pipelines — Python ETL/ELT, multi-source extraction, API orchestration with retry logic, idempotent transforms, error handling, coverage reporting
• API integration — REST, webhook-driven flows, rate-limit handling, authentication patterns, paginated ingestion at scale
• Data modeling — schema design, canonical IDs, entity resolution across dirty multi-source inputs, dimensional models for reporting
• Automation systems — Make, n8n, Zapier, triggered multi-step workflows, scheduled jobs, AI-integrated pipelines with OpenAI and Anthropic APIs
• Database and SQL work — PostgreSQL, MySQL, structured queries, data quality checks, migration and transformation logic
• Government and enterprise data integration — county portals, state registries, federal datasets, licensing systems, public records at volume
Engineering defaults:
Every pipeline has a schema. Every source is documented. Every entity resolution uses canonical IDs so duplicates collapse into one record, never three. Outliers flag for review, never drop silently. Missing values stay explicitly empty. Coverage reports ship with every delivery so your team knows what was found, what wasn't, and why.
Why clients hire me: engineering discipline applied to data systems, with fast turnaround and clean handoff.
Let's build something that holds up at scale.
Steps for completing your project
After purchasing the project, send requirements so Melad can start the project.
Delivery time starts when Melad receives requirements from you.
Melad works on your project following the steps below.
Revisions may occur after the delivery date.
Feasibility Review & Sample Test
I review your data source, confirm what's possible, and run a small test batch (10-20 records) so you can verify accuracy before we scale.
Build the Enrichment Pipeline
I build the collection, enrichment, and AI classification logic. Includes error handling, deduplication, and validation rules tailored to your data.