You will get ready-to-use data — Excel & CSV data cleaning

Deniz A.Status: Offline
Deniz A. Deniz A.

Let a pro handle the details

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

Let a pro handle the details

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

Project details

Got a messy spreadsheet full of duplicates, missing values, and inconsistent formatting? I turn your raw Excel or CSV file into clean, structured, analysis-ready data — fast. I remove duplicates, fix missing values, and standardize dates, text, numbers, and phone formats. I work in Python, so even large or messy files are handled accurately and reliably. Every change is traceable — you'll get a clean file plus a short note of exactly what I did. If something in your data doesn't add up, I'll tell you rather than quietly skip it.
Data Tool
Microsoft Excel
What's included
Service Tiers Starter
$15
Standard
$35
Advanced
$75
Delivery Time 1 day 2 days 3 days
Number of Revisions
123
Optional add-ons You can add these on the next page.
Fast Delivery
+$10 - $25
Additional Revision
+$10
Merge multiple files into one
+$15
Summary stats after cleaning
+$15

Frequently asked questions

Deniz A.Status: Offline

About Deniz

Deniz A.Status: Offline
Data Analyst | Data Cleaning, Analysis & Visualization | Python
Izmir, Turkey - 3:03 am local time
Hi! I'm a data analyst who turns messy, raw data into clear insights, interactive dashboards, and clean reports that help businesses make faster, better decisions.

I work across the full analysis pipeline — from cleaning unreliable data, to exploring it for real patterns, to delivering findings that actually inform a decision. My focus is the analysis itself: identifying the story behind the numbers and presenting it clearly enough to act on.

What I can do for you:
- End-to-end data analysis — cleaning, exploration, and clear business insights (e.g. discount effectiveness, channel profitability, seasonal trends)
- Financial & sales data analysis, with attention to the story behind the numbers
- Interactive dashboards with Streamlit & Plotly
- Data cleaning & web scraping with Python (pandas, NumPy)
- Automated reporting pipelines (PDF reports + interactive dashboards)

You can explore real examples in my portfolio below — including a quarterly financial analysis of Turkish food retailers, a 200K-order sales analysis uncovering how discounting affects revenue, and live interactive dashboards you can try yourself.

I care about delivering work that's clean, accurate, and easy to understand — with every number traceable to its source. If something in the data doesn't add up, I'll tell you rather than hide it. Let's talk about what you need.

Steps for completing your project

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

Delivery time starts when Deniz receives requirements from you.

Deniz works on your project following the steps below.

Revisions may occur after the delivery date.

Review data & confirm scope

I'll review your file, confirm the key columns and what "clean" means for you, and flag anything unclear before starting.

Clean & standardize the data

I remove duplicates, handle missing values, and standardize formatting — dates, text, numbers, and phone formats.

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