You will get a production-ready predictive machine learning model in Python
Project details
You will receive a production-ready predictive machine learning solution tailored to your business objective using Python and SQL. The work can include data quality review, feature engineering, model comparison, cross-validation, explainability, performance metrics, reproducible source code, and clear technical documentation. I work with statistical models, tree-based methods, neural networks when justified, clustering, churn, anomaly detection, risk, and forecasting use cases. You receive practical outputs rather than a black-box notebook: assumptions, limitations, validation results, and recommendations are documented so your team can use the model responsibly.
Machine Learning Tools
MLflow, NumPy, pandas, Python, PyTorch, scikit-learn, SQL, TensorFlow, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$120
|
Standard
$250
|
Advanced
$450
|
|---|---|---|---|
| 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 | 10 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code |
Frequently asked questions
About Camilo
Data Scientist | Python, SQL, Power BI & Predictive Analytics
Santiago, Chile - 3:41 am local time
I can help you with:
• Python and SQL data cleaning, analysis, and automation
• Power BI and Tableau dashboards and KPI reporting
• Statistical analysis, segmentation, forecasting, and machine learning
• Credit-risk models, collections analytics, PD/LGD, and model validation
• AI prototypes and agents on Google Cloud and Vertex AI
My background includes banking, healthcare, and consulting. I combine strong statistics with practical delivery: clear scope, reproducible code, understandable documentation, and regular communication. I'm new to Upwork, so I'm especially interested in focused projects where I can deliver a useful first result quickly.
Steps for completing your project
After purchasing the project, send requirements so Camilo can start the project.
Delivery time starts when Camilo receives requirements from you.
Camilo works on your project following the steps below.
Revisions may occur after the delivery date.
Scope and data review
I review the business objective, target variable, data dictionary, data quality and success metric before modeling.
Modeling and validation
I prepare features, compare suitable algorithms, validate performance, document assumptions and select a defensible solution.