Kavita Dwivedi

Kavita Dwivedi

Mumbai, Maharashtra, India
6K followers 500+ connections

About

A Data scientist with deep domain expertise in Banking and Financial Services having…

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Activity

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Experience

Education

  • IGIDR, Mumbai

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    Activities and Societies: Placement Cell

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    Activities and Societies: Placement Cell

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    Activities and Societies: Rotaract Club Debating Society

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Licenses & Certifications

Volunteer Experience

  • Rotaract Club

    BIT Sindri

    - 4 years

    Social Services

Projects

  • Fraud Management in Banking and Financial Industry - Mobile Wallet Fraud

    - Present

  • Retailer Life Time Value and Fraud Prevention using Brillio Data Platform for a Mobile Payment Services Company

    Partnered with the Mobile Payment services Client to build Big Data enabled Customer Life Time Value and to detect/prevent the fraudulent or suspicious transactions in real time.
    Retailer Life Time Value - RFM analysis, Cohort analysis, Churn modeling, Forecasting
    Fraud detection part decision tree based rules were made to enhance the security measures for the suspicious transactions
    Implementation - R , Hadoop , Hive

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  • Default Prediction Model - Auto Loans Portfolio of a US banking major

    Phase1: Validation of an existing PD model for a leading banking and financial service provider in the US.
    Phase2 : Redevelopment of the same model with the inclusion of new attributes into the model to improve predictability

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  • Building a Robust collection Scorecard using ML models

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    Building high performing Collection scorecards

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  • Social Media Analytics - Voice of customer for a leading Credit Card company for the contactless payments

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    Voice of customer for a leading credit card company
    • Managed a team of 4 people working on mining social media data to understand customer’s positive and negative pulse for contactless payments
    • Robust Sentiment Analysis Model has been built
    • New strategy provides with periodic insights from Voice of the Customers to see “how” & “what” they are talking about contactless payments

  • Healthcare Analytics for a US Pharma Company

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    Predicting the outcome of a series of Opioids prescribed to patients and predicting whether it lead to wellness for patients under depression .Also tried to study their choice of practitioners and identify causes using demographic data available

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Honors & Awards

  • Top 21 Contestant across the country in Capgemini Super Techies Show Season 1 on ET Now

    ET NOW

Languages

  • English

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  • Hindi

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