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Enhanced Machine Learning Solution for Lead Prediction and Classification
#ML, #automation
CHALLENGE
The company has built ML models that predict which leads will likely reply to an offer or make a deal. These models do not reach the target level of accuracy. Therefore, the company needed help improving the ML solution (or re-implementing it from scratch).
CLIENT
An American marketing company that assists financial service companies with direct marketing and advertising initiatives, including insurance and automotive.
TECHNOLOGY
AWS Glue, Athena, AWS SageMaker, AWS SDK for Python (Boto3), S3
TEAM
Skilled software developers who possess extensive knowledge and expertise in traditional programming languages but are also adept in navigating the intricate landscape of AWS Glue, ensuring the delivery of cutting-edge solutions in cloud-based data management and machine learning.
INDUSTRY
Auto-Tech
SOLUTION
In this project, our team developed, tested, and compared multiple possible ML models and determined the best outcome for customer classification.
We successfully deployed the models to Amazon SageMaker, integrated them with the current solution, and implemented a periodic retraining process.
In our solution, we used Big Data and AWS Stack.
We successfully deployed the models to Amazon SageMaker, integrated them with the current solution, and implemented a periodic retraining process.
In our solution, we used Big Data and AWS Stack.
IMPACT
With Muteki Group's end-to-end solution, the client received a convenient platform with improved processes, including building workflow processes, building pipelines for training, and then building pipelines for operating models.
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Muteki Group is a full-cycle software development company that has successfully completed 100+ AI projects for startups and enterprises since 2015. Our 80+ member team covers everything from the discovery phase to support. We are located in Ukraine, Poland, Estonia, Japan, Canada, UAE, and the USA.
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