You will get a machine learning model with evaluation and SHAP interpretability
Project details
You will get a machine learning model that actually works on your data, with honest evaluation and an explanation of why it makes the predictions it does.
I hold a BSc in Mathematics and build end-to-end ML pipelines in Python. My projects include a churn prediction model on 10K bank customers (0.849 ROC-AUC), a fraud detection model on 284K transactions with 0.17% positive class (0.870 PR-AUC), and RFM-based customer segmentation with K-Means.
What you receive:
• Data cleaning and preprocessing: missing values, outliers, encoding and scaling
• Multiple algorithms compared (Logistic Regression, Random Forest, XGBoost) instead of one guess
• Proper handling of imbalanced data with SMOTE or class weighting when needed
• Evaluation with the right metric for your problem, not just accuracy: ROC-AUC, PR-AUC, precision and recall
• SHAP analysis so you can see which features drive each prediction
• A clear report translating results into business language
I will tell you honestly if your data cannot support the accuracy you need, rather than delivering a model that looks good on paper and fails in production.
I hold a BSc in Mathematics and build end-to-end ML pipelines in Python. My projects include a churn prediction model on 10K bank customers (0.849 ROC-AUC), a fraud detection model on 284K transactions with 0.17% positive class (0.870 PR-AUC), and RFM-based customer segmentation with K-Means.
What you receive:
• Data cleaning and preprocessing: missing values, outliers, encoding and scaling
• Multiple algorithms compared (Logistic Regression, Random Forest, XGBoost) instead of one guess
• Proper handling of imbalanced data with SMOTE or class weighting when needed
• Evaluation with the right metric for your problem, not just accuracy: ROC-AUC, PR-AUC, precision and recall
• SHAP analysis so you can see which features drive each prediction
• A clear report translating results into business language
I will tell you honestly if your data cannot support the accuracy you need, rather than delivering a model that looks good on paper and fails in production.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SQL, XGBoostWhat's included
| Service Tiers |
Starter
$70
|
Standard
$180
|
Advanced
$380
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 10 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 | 6 | 12 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$20
Additional Model Variation
(+ 2 Days)
+$35
Model Documentation
(+ 1 Day)
+$30
Data Source Connectivity
(+ 2 Days)
+$50
Source Code
(+ 1 Day)
+$40Frequently asked questions
About Hilal
Data Analyst & Data Scientist | Python, SQL, Machine Learning
Istanbul, Turkey - 1:48 am local time
I have a strong mathematical background and hands-on experience in Data Analysis, Data Science, and AI/ML projects using Python, SQL, Pandas, NumPy, Scikit-learn, Power BI, TensorFlow, and Keras. I can support projects involving data cleaning, exploratory data analysis, KPI tracking, dashboard validation, reporting, predictive modeling, and machine learning.
What I can help you with:
• Cleaning and preparing datasets for analysis
• Writing SQL queries, views, and stored procedures
• Performing exploratory data analysis with Python
• Creating visualizations and business reports
• Building basic machine learning models for regression and classification
• Working on AI/ML and LLM-based applications
• Interpreting model results and turning them into actionable insights
I have worked on projects such as credit risk prediction, sales analysis, and LLM-based chatbot applications. My goal is to deliver clear, accurate, and useful results that help clients make better decisions with data.
If you need someone detail-oriented, analytical, and committed to continuous improvement, I would be happy to support your project.
Steps for completing your project
After purchasing the project, send requirements so Hilal can start the project.
Delivery time starts when Hilal receives requirements from you.
Hilal works on your project following the steps below.
Revisions may occur after the delivery date.
Data review & problem framing
— I explore your dataset, confirm the target variable and agree with you on the metric that defines success.
Cleaning & feature preparation
Missing values, outliers, encoding and scaling are handled, with class imbalance addressed where needed.