You will get Build a Python API to serve your data or machine learning models
Project details
You will get a clean, production-ready Python API designed to serve your data or machine learning models in real-world applications.
I specialize in building data and AI-driven backend solutions, from data processing and model integration to well-structured REST APIs. My focus is on delivering reliable, maintainable, and scalable solutions that can be easily integrated into web, mobile, or internal applications.
This project is ideal if you need to expose predictions, analytics, or data services through a secure and well-documented API, without dealing with complex infrastructure or unclear implementations.
I specialize in building data and AI-driven backend solutions, from data processing and model integration to well-structured REST APIs. My focus is on delivering reliable, maintainable, and scalable solutions that can be easily integrated into web, mobile, or internal applications.
This project is ideal if you need to expose predictions, analytics, or data services through a secure and well-documented API, without dealing with complex infrastructure or unclear implementations.
Machine Learning Tools
NumPy, OpenCV, pandas, Python, scikit-learn, SciPy, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 1 | 0 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$25
Additional Model Variation
(+ 1 Day)
+$50
Model Documentation
(+ 1 Day)
+$50Frequently asked questions
About Gaelle Pricile
AI & Data Developer | Python APIs, AI Chatbots, ML & Production System
Cotonou, Benin - 11:10 am local time
I am an AI & Data Developer specialized in building Python-based AI systems, from machine learning models and data pipelines to deployable APIs, AI-powered chatbots, and internal tools that work in real production environments.
My focus is not on demos or notebooks, but on solutions that are stable, maintainable, and usable by real users.
What I can build for you :
- Python APIs (FastAPI / Flask) to serve data, ML models, and AI services
- Machine learning models for prediction, classification, and time-series use cases
- AI chatbots & intelligent assistants using LLMs for automation, support, or internal workflows
- Data pipelines & SQL-backed systems for structured and reliable data processing
- Data-driven web applications & dashboards (React or analytical frontends)
- Production deployment using Docker and modern backend practices
Experience & approach
I have worked on data-intensive, real-world projects, including large-scale and public-sector platforms where data quality, security, and reliability are critical.
My background in applied data science and biostatistics allows me to design models and systems with strong analytical foundations while keeping the implementation practical and efficient.I am comfortable working across multiple domains:
Health & biostatistics
- Environment & climate data
- Open data platforms
- Business analytics & applied AI
Why work with me?
- Clear, structured communication (English & French)
- Focus on working, deliverable solutions, not just theory
- Strong bridge between data science, AI, and backend engineering
- Ability to explain complex systems clearly to non-technical stakeholders
If you are looking for someone who can design, build, deploy, and clearly explain data & AI solutions, feel free to reach out.
Steps for completing your project
After purchasing the project, send requirements so Gaelle Pricile can start the project.
Delivery time starts when Gaelle Pricile receives requirements from you.
Gaelle Pricile works on your project following the steps below.
Revisions may occur after the delivery date.
Review project requirements and clarify technical scope.
I review the provided requirements, datasets, and expected outcomes to ensure a clear and realistic technical scope before development.
Develop and test the Python API.
I build the Python API, integrate data sources or machine learning models, and perform functional testing to ensure reliability.