Shivaprasad D.

Shivaprasad D.

11+ Years of Experience in Software Industry in Testing for banking domain

Bangalore , India

Experience: 12 Years

Shivaprasad

Bangalore , India

11+ Years of Experience in Software Industry in Testing for banking domain

48000 USD / Year

  • Start Date / Notice Period end date: 2020-10-20

12 Years

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About Me

A seasoned professional with expertise in Machine Learning, Neural Networks, Data Mining techniques for Predictive Modelling and Analytics, Data Integration,data modeling and data architecture  and Natural Language Processing.

Had previou...

Had previous experiences in Business analysis ensuring the product development, requirement analysis, system solutions for business problems and Quality analyst

Graduating from Great learning PGD Program in Artificial Intelligence and Machine Learning.

I have completed wide range of projects using Deep Learning and ML algorithms such as Random Forest, Boosting, Bayesian Learning, Logistic Regression. Linear Regression, Decision trees, CNN, MLP.

I am comfortable working with Python,R, Javascript and MS SQL.

A seasoned professional with expertise in Machine Learning, Neural Networks, Data Mining techniques for Predictive Modelling and Analytics, Data Integration,data modeling and data architecture  and Natural Language Processing.

Had previous experiences in Business analysis ensuring the product development, requirement analysis, system solutions for business problems and Quality analyst

Graduating from Great learning PGD Program in Artificial Intelligence and Machine Learning.

I have completed wide range of projects using Deep Learning and ML algorithms such as Random Forest, Boosting, Bayesian Learning, Logistic Regression. Linear Regression, Decision trees, CNN, MLP.

I am comfortable working with Python,R, Javascript and MS SQL.

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Portfolio Projects

QA/Testing - GaNASEVA – A rural banking application, small finance and saving account system.

Company

QA/Testing - GaNASEVA – A rural banking application, small finance and saving account system.

Description

Requirement gathering and product gap analysis

Project plan for delivery and budget

Used Kanban to manage delivery activities

Communication between stackholders and engineering team

Conduct status meetings

Followup on delivery 

 

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Tools

VSTS Eclipse

Machine learning - Loan repayment predict

Company

Machine learning - Loan repayment predict

Role

Machine Learning Engineer

Description

Create dataset out of raw data for data model

Cleaning of dataset including the outlier 

Used oversampling technique to balance the dataset

Setup multiple level classification prediction model

Used different technique to arrive at the best fit model on basis of confusion matrix

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QA/Testing - NBFC agri loan product

Company

QA/Testing - NBFC agri loan product

Description

  • Implemented NBFC Agri loan originating system with complex auto approval setup

  • Tested Loan origination and servicing loan account.

  • Handled multiple reconciliation issues

  • Tested complex NPA module for multiple implementation.

  • Automated regression suite for complex web and API module.

  • Hands on experience on product gap analysis and requirements gathering.

  • Client engagement for product solution clarification and implementation

  • Handled UAT support for solution and incremental feature additions

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QA/Testing - Ganaseva product

Company

QA/Testing - Ganaseva product

Role

QA Tester

Description

  • Independently handled Testing for Payment Module for PSU bank.
  • Tested Chip card based transactions and Micro ATM for PSU bank
  • Tested Loan origination and servicing loan account.
  • Automated regression suite for payment module.
  • Product Testing– Saving Module
  • Approval workflow testing 
  • Release Management
  • Tested GL ledgers and Loans repayments schedule generation
  • Tested Interest Accrual for saving accounts

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QA/Testing - Micro finance product

Company

QA/Testing - Micro finance product

Role

Machine Learning Engineer

Description

  • Tested complex NPA and writen off module for implementation.
  • Automated regression suite for complex web and API module.
  • Hands on experience on product gap analysis and requirements gathering.
  • Client engagement for product solution clarification and implementation 
  • Handled UAT support for solution and incremental feature additions

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Verifications

  • Profile Verified

  • Phone Verified

Preferred Language

  • English - Conversational

  • Hindi - Conversational

Available Timezones

  • Greenwich Mean [UTC ±0]

  • Mountain Daylight [UTC -6]

  • Eastern Daylight [UTC -4]

  • Pacific Daylight [UTC -7]

  • Central Daylight [UTC -5]

  • Eastern European [UTC +2]

  • Further EET [UTC +3]

  • Eastern EST [UTC +3]

  • Dubai [UTC +4]

  • New Delhi [UTC +5]

  • China (West) [UTC +6]

  • Singapore [UTC +7]

  • Hong Kong (East China) [UTC +8]