Karthik V.

Karthik V.

ML/ Data Science

Lafayatte , Canada

Experience: 8 Years

Karthik

Lafayatte , Canada

ML/ Data Science

120000 USD / Year

  • Immediate: Available

8 Years

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About Me

Generated Texts with TensorFlow using RNN-GRUs on Shakespeare (Language Modeling) dataset. Classified Spam messages using RNNs, and Performed Language Translation using GRUs, and Sentiment Analysis on Movie dataset using LSTMs. Generated Images of MN...

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Portfolio Projects

Description

Strategically designed data pipelines for cross-platform applications, and analyze business data requirements. Created data pipelines to streamline data

flow across applications. Exported Relational data from Oracle, DB2 into Hadoop data lake after processing, transforming, and cleaning. Exported data

from the Hadoop data lake to Teradata for further reporting for tableau dashboards. Used Hive, Impala, Teradata to query and analyze data.

Maintained legacy Informatica mappings, and workflows to inculcate new changes. Used AWS cloud platforms to migrate data from traditional data lake

to the cloud. Performed Testing of code and leveraged CI-CD tools to automate streamline delivery. Supported team by conducting trainings, KTs and

documentation in transitioning to automated delivery by using Git, Jenkins, BDD testing. Achieved AWS Developer Certified Associate credentials.

Worked in Agile methodology and participated in scrum ceremonies to enable smooth delivery of code. Documented delivery prerequisites to comply

with company's delivery guidelines and procured approvals for delivery.

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Description

Developed screens for POS on legacy AS400. Performed Maintenance on existing POS screens, and database tables in RPGLE, CLLE, and DB2.

Implemented Coupon Rebate promos on POS applications.

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Description

Supported Development teams by triaging claim submission applications.

Tested address change field in customer applications.

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Description

Supported Development teams by triaging claim submission applications.

Tested address change field in customer applications.

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