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SOMYA RAWAT
SOMYA RAWAT

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Top Data Science Use Cases

Data Science in Telecom :

  • Fraud Detection
  • Predictive Analytics
  • Customer Churn Prevention
  • Customer Segmentation
  • Network Management and Optimization
  • Recommendation Engines
  • Price Optimization
  • Targeted Marketing
  • Location Based Promotions
  • Call Detail Record (CDR) Analysis

Data Science in Retail :

  • Recommendation engines
  • Market basket analysis
  • Warranty analytics
  • Price optimization
  • Inventory management
  • Location of new stores
  • Customer sentiment analysis
  • Lifetime value prediction
  • Fraud detection
  • Logistics and Supply Chain Management
  • Demand Forecasting
  • Churn prediction
  • Foretelling trends through social media

Data Science in Banking :

  • Fraud Detection
  • Managing Customer Data
  • Risk Modeling
  • Customer Lifetime Value Prediction
  • Al-driven chatbots & Virtual Assistants
  • Customer Segmentation
  • Real-Time and Predictive Analysis
  • Personalized marketing
  • Recommendation engines
  • Consumer analytics
  • Algorithmic trading

Data Science in Healthcare :

  • Drug discovery
  • Medical image analysis
  • Improve Diagnostic Accuracy
  • Optimal staffing
  • Reduce Risks in Prescription Medicine
  • Improve Patient Engagement
  • Virtual assistance for patients and customer support
  • Managing customer data
  • Predictive Analytics
  • Tracking & Preventing Diseases
  • Data Science in Genomics

Data Science in Manufacturing :

  • Predictive Analytics
  • Preventive Maintenance and Fault Prediction
  • Price Optimization
  • Automation in the Smart Factory
  • Supply Chain Optimization
  • Product Design and Development
  • Inventory Management and Demand Forecasting
  • Warranty analysis
  • Computer vision applications

Data Science in Education :

  • Improve Adaptive Learning
  • Social-Emotional Skills
  • Improve Student's Performance
  • Monitoring Student Requirements
  • Innovating the Curriculum
  • Measuring Instructor Performance
  • Predicting Dropout Rate
  • Better Grading System
  • Customized Programs/Paths
  • Better Parent Engagement
  • Better Assess Teachers

Data Science in Insurance :

  • Detection Of Fraudulent Claims
  • Detecting And Mitigating Risk In Real-Time
  • Personalizing Marketing Strategies
  • Targeting Specific Customer Groups
  • Influencing Customer Behaviour
  • Lifetime Value Prediction
  • Claims Prediction
  • Improve Customer Service
  • Policy Recommendation Engines

Data Science in Logistics :

  • Demand forecasting
  • Automated Warehousing
  • Warehouse robots
  • Damage detection/ Visual Inspection
  • Predictive maintenance
  • Self-driving vehicles
  • Dynamic Pricing
  • Route optimization /Freight management
  • Customer service chatbot

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