Machine Learning ModelTemiloluwa Adeniyi
I design and develop predictive machine learning models using your data or open-source datasets, including any necessary data cleaning and transformation to ensure high-quality inputs. With my AWS Machine Learning Specialty Certification, I bring expert knowledge to train and fine-tune the model to meet your specific business needs. Once ready, I’ll deploy the model to your preferred cloud platform (Google Cloud, AWS, Azure, etc.), working closely with your team for seamless integration and performance.
What's included
Machine Learning Model Development
I will design and develop a predictive machine learning model using Python, Rust, SQL (with BigQuery on GCP), or R. The model will be trained and fine-tuned to meet your specific business requirements.
Model Deployment and Integration
I will deploy the trained and fine-tuned machine learning model to your preferred cloud platform (Google Cloud, AWS, Azure, Databricks, etc.), and ensure any necessary data cleaning and transformation is completed beforehand. For smooth deployment and integration, developer access to your cloud environment will be required.
MLOps and Model Monitoring
After deployment, I will collaborate with you to set up model monitoring and observability using MLOps tools to track performance, detect drift, and ensure the model’s reliability over time.
Data Analysis and Code Deliverables
I will perform a detailed data analysis, generating visualizations, calculations, and insights. The code file containing the analysis and outputs can be provided in Python, Rust, SQL, or R, based on your preference and project requirements.
Final Report in PDF Format
A comprehensive report summarizing anomalies, trends, and actionable business insights derived from your data will be provided in PDF format.
Example work
Temiloluwa's other services
Contact for pricing
Tags
AWS
Azure
Google Cloud Platform
Terraform
Data Engineer
DevOps Engineer
ML Engineer
Service provided by
Temiloluwa Adeniyi proUnited States
- $25k+
- Earned
- 5
- Paid projects
- 5.00
- Rating
- 16
- Followers
Machine Learning ModelTemiloluwa Adeniyi
Contact for pricing
Tags
AWS
Azure
Google Cloud Platform
Terraform
Data Engineer
DevOps Engineer
ML Engineer
I design and develop predictive machine learning models using your data or open-source datasets, including any necessary data cleaning and transformation to ensure high-quality inputs. With my AWS Machine Learning Specialty Certification, I bring expert knowledge to train and fine-tune the model to meet your specific business needs. Once ready, I’ll deploy the model to your preferred cloud platform (Google Cloud, AWS, Azure, etc.), working closely with your team for seamless integration and performance.
What's included
Machine Learning Model Development
I will design and develop a predictive machine learning model using Python, Rust, SQL (with BigQuery on GCP), or R. The model will be trained and fine-tuned to meet your specific business requirements.
Model Deployment and Integration
I will deploy the trained and fine-tuned machine learning model to your preferred cloud platform (Google Cloud, AWS, Azure, Databricks, etc.), and ensure any necessary data cleaning and transformation is completed beforehand. For smooth deployment and integration, developer access to your cloud environment will be required.
MLOps and Model Monitoring
After deployment, I will collaborate with you to set up model monitoring and observability using MLOps tools to track performance, detect drift, and ensure the model’s reliability over time.
Data Analysis and Code Deliverables
I will perform a detailed data analysis, generating visualizations, calculations, and insights. The code file containing the analysis and outputs can be provided in Python, Rust, SQL, or R, based on your preference and project requirements.
Final Report in PDF Format
A comprehensive report summarizing anomalies, trends, and actionable business insights derived from your data will be provided in PDF format.
Example work
Temiloluwa's other services
Contact for pricing