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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.

WE ARE EAGER TO APPLY OUR EXPERIENCE TO HELP YOUR BUSINESS GROW

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Muteki Groupは、ソフトウェア開発企業であり、8年間でスタートアップや企業向けに100以上のAIプロジェクトを実行し、成功してきました。80名以上のメンバーで構成されるプロフェッショナルチームはプロジェクトの全段階をカバーします。拠点はウクライナ、ポーランド、エストニア、日本、カナダ、アラブ首長国連邦にあります。

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