You will get a custom machine learning model for prediction in Python
Project details
You will get a complete, production-ready machine learning model that turns your raw data into accurate predictions you can actually use to make decisions. I build classification and regression models (fraud detection, customer churn, price prediction, and more) using XGBoost, LightGBM, Random Forest, and scikit-learn — with proper validation, not just a single accuracy number. Every project includes clean preprocessing, cross-validated results, honest performance metrics, and a clear explanation of what drives the model's predictions. With a strong background in data analysis and a focus on real business outcomes, I deliver work that is reproducible, well-documented, and easy to hand over. You get clean code, a results report, and predictions ready to plug into your workflow.
Machine Learning Tools
Microsoft Excel, Microsoft Power BI, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, SQL, XGBoostWhat's included
| Service Tiers |
Starter
$80
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 5 | 8 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | - |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$40 - $60
Additional Revision
+$15
Additional Model Variation
(+ 2 Days)
+$25
Additional Graph/Chart
(+ 1 Day)
+$10
Model Documentation
(+ 2 Days)
+$30
Source Code
(+ 1 Day)
+$40Frequently asked questions
About Umut
Python Data Analyst | Excel/CSV Data Cleaning, EDA & Dashboards
Manisa, Turkey - 5:25 am local time
With a background in Electrical Engineering (5+ years) and an MBA,
I bring both technical precision and business understanding to every
project. Whether you have a 50-row spreadsheet or a 500,000-row
dataset, I deliver results you can actually use.
What I can help with:
• Data cleaning, formatting & standardization (Excel, CSV, Google Sheets)
• Python automation scripts (Pandas, NumPy) for repetitive data tasks
• Web research & structured data collection
• Data analysis & reporting (SQL, Power BI, Pandas)
• Machine learning model development — regression & classification
(Scikit-learn, XGBoost, LightGBM)
My engineering background means I've worked with real industrial
data — messy, inconsistent, and high-stakes. I understand what
truly "clean data" means in practice.
Reliable delivery. Clear communication. Consistent updates.
Message me to discuss your project — I respond within a few hours.
Steps for completing your project
After purchasing the project, send requirements so Umut can start the project.
Delivery time starts when Umut receives requirements from you.
Umut works on your project following the steps below.
Revisions may occur after the delivery date.
1
Requirements & data review — I review your dataset and goals, confirm the target variable, and flag any data-quality issues before starting.
2
Data preprocessing — Cleaning, handling missing values, encoding, and feature engineering to prepare the data for modeling.