You will get clean and organized data for PowerBI, Tableau or CRM

Daniele P.Status: Offline
Daniele P.
Rising Talent

Let a pro handle the details

Buy Data Entry & Cleaning services from Daniele, priced and ready to go.
Daniele P.Status: Offline
Daniele P.
Rising Talent

Let a pro handle the details

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

Project details

Your messy data is blocking every report, CRM import, and business
decision you try to make.

I clean and structure SQL databases and Excel spreadsheets —
removing duplicates, fixing broken formats, recovering missing
values, and migrating columns to their correct data types.

What I deliver:
 • Duplicate removal via window functions
 • String normalization: names, emails, phone numbers
 • Missing value recovery using business logic (no rows dropped)
 • Date and number standardization
 • Schema migration: VARCHAR to DECIMAL and DATE
 • Clean file + summary of every change made

Based on real projects: resolved 30%+ inconsistency in a customer
database, recovered missing items in a retail sales dataset via
Category x Price logic, and cleaned a restaurant sales dataset
with zero rows dropped.

Output is always Power BI, Tableau, and Python Pandas ready.

Send me your file before ordering — I'll confirm I can handle it
within 1 hour.
Data Tool
SQL
What's included
Service Tiers Starter
$15
Standard
$60
Advanced
$130
Delivery Time 1 day 2 days 3 days
Number of Revisions
123
Optional add-ons You can add these on the next page.
Additional Revision
+$10
Daniele P.Status: Offline

About Daniele

Daniele P.Status: Offline
SQL & Excel Data Cleaning | MySQL | Data Analysis
Conco, Italy - 8:12 pm local time
Business student and data professional with hands-on experience
cleaning and structuring messy datasets for analytics and reporting.

I work primarily in MySQL and Excel, delivering typed,
analytics-ready databases — not just visually cleaner spreadsheets.

What I do:
- SQL Data Cleaning: duplicates, NULL recovery, string normalization,
RegEx on phone/email fields, schema migration to DECIMAL and DATE
- Mathematical Recovery: deriving missing values from existing columns
(price x quantity = total) rather than dropping rows
- Schema Optimization: migrating VARCHAR columns to native types —
enabling SUM, AVG, and time-series analysis instantly
- Audit Tables: full before/after comparison with change_flag —
every transformation traceable and explainable

Delivered projects include a customer database (30%+ inconsistency
resolved), a retail sales dataset (full schema typed, item recovery
via CTE), and a restaurant sales dataset (zero rows dropped).

Output is always Power BI, Tableau, and Python Pandas ready.

Native Italian speaker — available for Italian/English projects.

Steps for completing your project

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

Delivery time starts when Daniele receives requirements from you.

Daniele works on your project following the steps below.

Revisions may occur after the delivery date.

File Review

I analyze your dataset, identify all issues (duplicates, broken formats, missing values, wrong data types) and confirm the cleaning plan with you.

Data Cleaning

I remove duplicates, normalize strings, recover missing values using business logic, and standardize date and number formats.

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