You will get your messy Excel or CSV data cleaned and turned into a clear report
Project details
Send me the spreadsheet you have been avoiding. You get it back clean, with the answer you actually wanted.
Most business data is messy in the same few ways: the same customer spelled four different ways, dates in three formats, numbers stored as text so nothing sums, blank rows, duplicates you cannot see. I fix all of that — and I send you a list of every single change I made, so you are never asked to trust a black box. That list comes with every tier.
From Standard up, I also answer your question. Tell me what you want to know — which customers are worth most, which months are slow — and I build the charts that show it, with a short plain-language summary. No jargon, no 40-page deck.
Cleaning is done with a Python script, not by hand. It is repeatable, it does not quietly break large files, and I compare row counts and totals before and after to prove the data was corrected rather than damaged. A 200,000-row file is fine.
If your data cannot be cleaned to a useful standard, I will tell you before you pay, not after.
I am an AI & Data Engineering student building my reputation here, so the price is well below what this work usually costs. The care is not.
Most business data is messy in the same few ways: the same customer spelled four different ways, dates in three formats, numbers stored as text so nothing sums, blank rows, duplicates you cannot see. I fix all of that — and I send you a list of every single change I made, so you are never asked to trust a black box. That list comes with every tier.
From Standard up, I also answer your question. Tell me what you want to know — which customers are worth most, which months are slow — and I build the charts that show it, with a short plain-language summary. No jargon, no 40-page deck.
Cleaning is done with a Python script, not by hand. It is repeatable, it does not quietly break large files, and I compare row counts and totals before and after to prove the data was corrected rather than damaged. A 200,000-row file is fine.
If your data cannot be cleaned to a useful standard, I will tell you before you pay, not after.
I am an AI & Data Engineering student building my reputation here, so the price is well below what this work usually costs. The care is not.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$45
|
Standard
$110
|
Advanced
$220
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 2 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $70Frequently asked questions
About Beyza
AI Engineer | LLM Agents, RAG Systems & Python Backends
Istanbul, Turkey - 9:35 pm local time
Most recently I built beyZ, a customer support agent on the Claude API that searches a knowledge base (RAG), calls tools to look up orders, and knows when to hand off to a human — there is deliberately no tool that lets it process a return on its own. It streams responses over SSE, ships in Docker, and has a behavioral eval suite that catches regressions when the prompt changes. Live demo and code are linked in my portfolio.
Also comfortable across the data side: Python, scikit-learn, pandas, NumPy, and Matplotlib for analysis and ML (Logistic Regression, Decision Tree, Random Forest, K-Means, GridSearchCV tuning), SQL, Git/GitHub, Jupyter, and Google Colab.
Currently studying AI & Data Engineering, which shapes how I approach problems — I like to understand a system end-to-end before I touch it.
Clear communication and reliable delivery — I'll keep you updated at every step.
Steps for completing your project
After purchasing the project, send requirements so Beyza can start the project.
Delivery time starts when Beyza receives requirements from you.
Beyza works on your project following the steps below.
Revisions may occur after the delivery date.
I list every problem in your file, and confirm the fixes
Duplicates, blanks, mixed date formats, numbers stored as text. I show you the list and agree how each one should be handled before I change anything.
I clean it with a script, and check the totals still match
Cleaning is done in Python, not by hand, so nothing changes silently. I compare row counts and totals before and after, so you can see the data was fixed and not damaged.