Jegadeesan Balasubramanian Email & Phone Number |  Manage reporting transitions, support transformations and execute best practice initiatives.  Responsible for Global Services Performance Strategy Planning and drive Global Improvement Initiatives based on Services Performance and Analytics.  Responsible for setting up Data Analytics Function  Work with business leadership on attaining Operational Excellence globally.  Strong design and programming skills in R.  Proactive Problem Management  Historical data analysis.  Statistical analysis for standard fields in the ticketing tool  Unstructured data analyzed with the help of statistical tools(Text mining) Result using Text Analytics :- o Identified the most frequently occurring events – Based on CI, Issue Type, IP Predictive Data Analytics using machine learning techniques:-

Jegadeesan Balasubramanian

 Manage reporting transitions, support transformations and execute best practice initiatives.  Res...
Bengaluru, Karnataka, India

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Jegadeesan Balasubramanian’s Email jegadeesan.balasubramanian@emc.com

Jegadeesan Balasubramanian’s Phone Numbers

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Jegadeesan Balasubramanian’s Location Bengaluru, Karnataka, India

Jegadeesan Balasubramanian’s Current Industry Dell Technologies

Jegadeesan Balasubramanian’s Prior Industry Unisys Global Services | Slash Support | Beevee Graphics

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Consultant

2022-04-01 00:00:00 - Present

System Analyst

2008-06-01 00:00:00 - 2009-10-01 00:00:00

Application Engineer

2006-05-01 00:00:00 - 2008-05-01 00:00:00

Programmer

2005-08-01 00:00:00 - 2006-05-01 00:00:00

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Jegadeesan Balasubramanian is a  Manage reporting transitions, support transformations and execute best practice initiatives.  Responsible for Global Services Performance Strategy Planning and drive Global Improvement Initiatives based on Services Performance and Analytics.  Responsible for setting up Data Analytics Function  Work with business leadership on attaining Operational Excellence globally.  Strong design and programming skills in R.  Proactive Problem Management  Historical data analysis.  Statistical analysis for standard fields in the ticketing tool  Unstructured data analyzed with the help of statistical tools(Text mining) Result using Text Analytics :- o Identified the most frequently occurring events – Based on CI, Issue Type, IP Predictive Data Analytics using machine learning techniques:-