We cover 8 data science projects – covering Credit risk, digital Marketing , Ecommerce domains.
  1. Credit risk Application scorecard model – covering probability of default, Ready Reckoner, Explainability using Shapely, Reject Inferencing, alternate data. It’s a high impact project and helped many students to crack high CTC interviews.
  2. Credit Risk Behaviour scorecard model – Covering probability of default later in the tenure, cross sell and upsell strategy, Renewal, PD/LGD/EAD/ECL calculation
  3. Credit Risk Collection scorecard model – Early warning model, Recovery prediction model, High-Medium-Low recovery prediction model for Written off pool
  4. Digital Lead Prioritization – How to prioritize digital leads in Premium plus, Premium, Average, Low, Junk category where Premium Plus and Premium contributes 10 times conversion and 50%+ revenue. A high impact Data science and Machine Learning use case to increase operational efficiency, helped many students to crack high CTC interviews.
  5. Interest Rate propensity – An unsupervised algorithm finding look-a-like customers and recommending first-time-right interest rate. An unique solution to increase conversion and reduce processing time, an efficiency use case.
  6. Credit Risk ECL calculation – PD/LGD/EAD/ECL calculation , understanding how to use macroeconomic features.
  7. Custom model building for consumer, Microfinance , MSME
  8. Model testing, Model monitoring & recalibration.
Along with the course students start attending interviews as well and mostly high CTC Data science, Credit Risk, Fintech interviews are cracked in these two months. Handholding and Live support – Post cracking interviews, When students start working as a data scientist, we provide complete support in initial months till students feel confident in the new role. We make sure that the career transition into data science is successful and smooth.    
We cover 8 data science projects – covering Credit risk, digital Marketing , Ecommerce domains.
  1. Credit risk Application scorecard model – covering probability of default, Ready Reckoner, Explainability using Shapely, Reject Inferencing, alternate data. It’s a high impact project and helped many students to crack high CTC interviews.
  2. Credit Risk Behaviour scorecard model – Covering probability of default later in the tenure, cross sell and upsell strategy, Renewal, PD/LGD/EAD/ECL calculation
  3. Credit Risk Collection scorecard model – Early warning model, Recovery prediction model, High-Medium-Low recovery prediction model for Written off pool
  4. Digital Lead Prioritization – How to prioritize digital leads in Premium plus, Premium, Average, Low, Junk category where Premium Plus and Premium contributes 10 times conversion and 50%+ revenue. A high impact Data science and Machine Learning use case to increase operational efficiency, helped many students to crack high CTC interviews.
  5. Interest Rate propensity – An unsupervised algorithm finding look-a-like customers and recommending first-time-right interest rate. An unique solution to increase conversion and reduce processing time, an efficiency use case.
  6. Credit Risk ECL calculation – PD/LGD/EAD/ECL calculation , understanding how to use macroeconomic features.
  7. Custom model building for consumer, Microfinance , MSME
  8. Model testing, Model monitoring & recalibration.
Along with the course students start attending interviews as well and mostly high CTC Data science, Credit Risk, Fintech interviews are cracked in these two months. Handholding and Live support – Post cracking interviews, When students start working as a data scientist, we provide complete support in initial months till students feel confident in the new role. We make sure that the career transition into data science is successful and smooth.    
Data Science Credit Risk Projects -

Data Science Credit Risk Projects

We cover 8 data science projects – covering Credit risk, digital Marketing , Ecommerce domains.

  • Duration 3 Month
  • Students Enrolled 100
  • Last Updated March 1st, 2023
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Data Science Credit Risk Projects
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Data Science Credit Risk Projects

1 Week
All levels
0 lessons
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100 students
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ratulpaul1

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