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Optimizing Insurance Operations Through Predictive Analytics

Views 97
Team NameCodePlay
TrackInsurance
Use CaseStreamlining insurance operations with explainable AI and advanced data insights
TechnologySAS Viya, NLP, Automation and Decision Pipelines, React, Next.js, Node.js, Tailwind CSS.
RegionAP
Team lead

John Carlo I. Benter

Team members@MYSCasanova @Chief_SB @calistoe @bCarz @jadedd @markienoodle @javevega @manaloira 
Social media handles

1. John Carlo I. Benter - https//⁦facebook.com/juluuu.28⁩

2. Maria Ysavellina S. Casanova (MYSCasanova) - ⁦https://www.facebook.com/MYSCasanova⁩

3. Isabel Anne M. Macamus (Chief_SB) - ⁦https://www.facebook.com/sbasby.hjonk⁩

4. Carmella Gaudete R. Enriquez (calistoe) - https://www.facebook.com/ellaa.enriquez

5. Enrico Miguel L. Gutang (bCarz)- ⁦https://www.facebook.com/mico.gutang⁩

6. Jeydin S. Tacata (jadedd) - ⁦https://www.facebook.com/jeydin.tacata⁩

7. Mark Lawrence R. Balading (markienoodle)- https://www.facebook.com/renzo.balading?

8. Jave Francis Earl N. Vega (javevega)
https://www.facebook.com/DaBega26

9. Ira Sophia T. Manalo (manaloira)
https://www.facebook.com/xximanalo

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Comments

Hi @MYSCasanova @Chief_SB @calistoe @bCarz @jadedd @markienoodle @javevega @manaloira — I really like the CodePlay use case on optimizing insurance operations with explainable AI.


If your team is open to additional members, I’d be excited to join and contribute. My background includes:
• Predictive Analytics & ML: Python, R, SAS, scikit-learn, TensorFlow; experience building explainable models and decision-support systems
• NLP: text mining, classification, and integration of unstructured text into predictive pipelines
• Data Engineering & Visualization: SQL, Pandas, Power BI/Tableau, and pipeline automation for structured/unstructured data
• Full-stack familiarity: React, Node.js, Tailwind CSS — helpful for integrating insights into web dashboards  


I’d be glad to support on model development, explainability dashboards, or pipeline automation.
Looking forward to collaborating if there’s room on the team!

 

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