You will get your machine learning model deployed as an API or web app

5.0

Let a pro handle the details

Buy Other AI & Machine Learning services from Olasupo, priced and ready to go.
5.0

Let a pro handle the details

Buy Other AI & Machine Learning services from Olasupo, priced and ready to go.

Project details

You will get a professional machine learning deployment solution that transforms your trained ML model into a production-ready API or web application. Whether you need a FastAPI endpoint, Flask API, Streamlit dashboard, or cloud deployment solution, I build scalable ML systems that make your models accessible, interactive, and ready for real-world use.

This project can include ML API development, Streamlit web apps, model integration, prediction interfaces, deployment pipelines, cloud hosting support, and deployment-ready documentation tailored to your project requirements. Depending on your use case, deployment frameworks such as FastAPI, Flask, Streamlit, Docker, Render, Railway, and Python-based backend systems can be implemented for scalable machine learning applications.

Using tools like Python, FastAPI, Flask, Streamlit, Scikit-learn, Docker, and cloud deployment platforms, I focus on building reliable ML deployment solutions that help businesses move beyond notebooks into real production environments and user-ready AI applications.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software Maintenance
AI Tools
Azure Machine Learning, Deeplearning4j, Keras, MLflow, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$80
Standard
$200
Advanced
$400
Delivery Time 1 day 3 days 6 days
Number of Revisions
124
AI Model Integration
Detailed Code Comments
Knowledge Graph
-
Model Documentation
-
-
Ontology
-
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Source Code
-
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Taxonomy
-
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Frequently asked questions

5.0
6 reviews
100% Complete
1% Complete
(0)
1% Complete
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1% Complete
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1% Complete
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AU

Akintobi U.
5.00
Aug 5, 2026
Supply Chain Analytics & Forecasting Specialist Olasupo did an excellent job building a demand forecasting model for my food delivery business across multiple hubs. They took messy, real-world order data and turned it into a clear, usable forecast I could act on immediately, accurate, well-documented, and easy for me to maintain going forward. Communication throughout the project was proactive and clear; they asked the right questions upfront and kept me updated at every stage. The final deliverable exceeded what I expected for the scope, both in quality and in how practically it fit my business. I'll be hiring them again for future supply chain and analytics work without hesitation.

AU

Akintobi U.
5.00
Jun 1, 2026
Excel Dashboard for Business Reporting Azeez demonstrated outstanding attention to detail and business understanding throughout the project. His expertise in data analytics, reporting, and KPI tracking, leveraging Microsoft Excel, added significant value to our decision-making process.

LW

Li W.
5.00
Sep 15, 2023
Freelance HR Business Partner (1A35)

LW

Li W.
5.00
Aug 16, 2023
Freelance HR Business Partner (1A35)

NZ

Nan Z.
5.00
Jul 6, 2023
Recruiting Tasks (NncL): Resume Screening & Assessment Olasupo helped us evaluate candidates for an open position in finance relating to our investments in technology, healthcare, publishing, philanthropy, and sustainability (ESG). Olasupo helped us in a timely and productive way, and was completely responsive and communicative about all our goals. We're thankful for the help and would consider working together again the next time we need an HR partner.
Olasupo O.Status: Offline

About Olasupo

Olasupo O.Status: Offline
Data Analyst | Supply Chain Analytics | Data Annotation Specialist
100% Job Success
5.0  (6 reviews)
Ikeja, Nigeria - 1:14 am local time
I help businesses turn data into actionable insights through analytics, dashboards, and forecasting. As a Data Analyst specializing in supply chain analytics, I use Python, SQL, Power BI, and Excel to uncover trends, optimize inventory, improve forecasting accuracy, and support data-driven decision-making.

With a background in Industrial and Production Engineering and hands-on experience in supply chain operations, analytics, and business intelligence, I specialize in demand forecasting, inventory optimization, procurement analytics, KPI reporting, and supply chain performance analysis

I worked with an energy company in the gas-to-power sector where I applied data analytics and data science techniques to support operational efficiency and business decision-making by:

• Automating reporting pipelines and operational data workflows
• Cleaning, transforming, and analyzing large operational and energy datasets
• Building analytical dashboards for KPI monitoring and performance insights
• Supporting predictive and data-driven operational decision-making processes
• Improving data visibility, reporting efficiency, and business intelligence across operations

My technical toolkit includes:
• Excel & Google Sheets
• SQL (PostgreSQL, MySQL, SQL Server, SQLite)
• Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn)
• Time Series Forecasting (ARIMA, SARIMA, ARMA, VAR, VARMA, Holt-Winters, Prophet)
• Machine Learning & Predictive Analytics
• ML Model Deployment & Automation
• Tableau & Power BI
• Streamlit Dashboard Development
• Inventory Optimization & Supply Chain Analytics
• Data Cleaning, ETL & Business Reporting

I can help you with:
✔ Business dashboards & KPI reporting
✔ Demand forecasting & time series analysis
✔ Machine learning & predictive modeling
✔ Inventory and sales analytics
✔ Data cleaning, preprocessing & transformation
✔ Excel automation & reporting systems
✔ SQL queries, database analysis & ETL workflows
✔ ML deployment using Streamlit and Python apps
✔ Supply chain and operations analytics projects

I focus on delivering clean, scalable, and business-focused analytical solutions that help clients improve decision-making, optimize operations, reduce inefficiencies, and uncover meaningful insights from their data.

Let’s work together to turn your data into smart business solutions.

Steps for completing your project

After purchasing the project, send requirements so Olasupo can start the project.

Delivery time starts when Olasupo receives requirements from you.

Olasupo works on your project following the steps below.

Revisions may occur after the delivery date.

Requirement Gathering

Client shares trained model, project goals, deployment requirements, and preferred platform.

Environment & API Setup

The deployment architecture, backend environment, and API structure are configured.

Review the work, release payment, and leave feedback to Olasupo.