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User

Data Scientist

BMT Score
70
70%
  • Remote

Available for

About Arvind

A performance driven ambitious software developer with an extraordinary blend of and technical knowledge. Ability to communicate and motivate team members to enhance strategic goals and bottomline objectives. Creative problem solving and troubleshooting skills complemented by meticulous attention to details that will result in the success of an organization by developing new applications or improving existing ones.

Tech Stack Expertise

  • Tech Stack Expertise

    Python

    Python

    3 Years

Work Experience

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Data Scientist

  • January 2012 - November 2022 - 10 Year
  • India

Projects

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Defaulter Prediction Modelling

  • January 2013 - January 2014 - 13 Months
Technologies
Role & Responsibility
    This project mainly focuses on predicting the potential future default customers based on the historical loan data of customers.
    • Identification of appropriate fields and collection of data from the banks
    • Data cleansing/ Data pre-processing/Data reparation
    • Features selection
    • Building the predictive models
    • Generating the prediction rules for better business understanding
    • Applied the best predictive model and scored the production data.
    • Detailed analysis on the output
...see less
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Customer Churn Prediction Modelling

  • January 2014 - December 2014 - 12 Months
Technologies
Role & Responsibility
    Predicting the degree of Churn involved in each customer to reduce churn.
    • Identification of appropriate fields and collection of data from the banks
    • Data cleansing/Data pre-processing/Data preparation
    • Features selection
    • Building the predictive models
    • Generating the prediction rules for business understanding
    • Applied the best predictive model and scored the production data.
    • Detailed analysis on the output
...see less
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Customer Segmentation

  • January 2015 - December 2015 - 12 Months
Technologies
Role & Responsibility
    This project is mainly used for Target marketing and campaign management. Customers are segmented based on their demographical and transactional details.
    • Collection of customer's demographic and transactional data
    • Data cleansing/ Data preparation
    • Variables selection
    • Generating rules for different identified customer segments
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Market Basket Analysis

  • January 2016 - June 2016 - 6 Months
Technologies
Role & Responsibility
    This project is mainly used to improve cross-sell and up-sell of the products.
    • Collection of customer's product transactional details
    • Identifying the products that go together very frequently using association rule mining Algorithms
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Analyzing The Migratory Customer Behaviour Datase

  • May 2018 - January 2019 - 9 Months
Technologies
Role & Responsibility
    Customer clustering is used to identify behavioural patterns of customers so that businesses can align their marketing strategies with customer preferences and retain them.
    • Collection of customer’s demographic fields as well as usage and revenue data. 
    • Data cleansing/Data pre-processing 
    • Identified the patterns of customer migration in each quarter and retained those customers using best marketing strategies. 
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Industry Expertise

Education

Education

in B.E

Andhra Pradesh
  • June 2009 - June 2012

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