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  1. app.py +5 -1
app.py CHANGED
@@ -114,7 +114,7 @@ Combining Kafka structured streaming for a real-time recommendation for closing
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  - low interest credit card
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  - GIC
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- Observability/Cyber Security/Fraud Analytics:
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  ------
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  Proactive Detection: Identify potential fraud threats and vulnerabilities in real-time.
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@@ -177,6 +177,10 @@ As a Data Scientist with a decades of financial industry experience, I recognize
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  Objective:
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  ---------
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  Our aim is to extract meaningful insights from customer interactions to improve our services, products, and overall customer experience. This analysis will help us understand what our customers are discussing and how they feel about different aspects of our business.
 
 
 
 
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  """)
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  - low interest credit card
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  - GIC
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+ AML/KYC/Compliance/Audit/Cyber Security/Fraud Analytics/Observability:
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  ------
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  Proactive Detection: Identify potential fraud threats and vulnerabilities in real-time.
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  Objective:
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  ---------
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  Our aim is to extract meaningful insights from customer interactions to improve our services, products, and overall customer experience. This analysis will help us understand what our customers are discussing and how they feel about different aspects of our business.
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+
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+ Use Case:
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+ - intervene attrition through incentive
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+
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  """)
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