Data Analyst Resume

TECHNICAL SKILLS:

Analytics skills: Python, PANDAS, NUMPY, MATPLOTLIB, SCIKIT - LEARN, R, SQL, Tableau, Tensorflow, SAS, MS Excel, OCTAVE, MATLAB, SPARK, AWS Redshift, RDBMS, SCALA, Hadoop, SPARK, PIG, HIVE, SAP Business analytics

Tools: Visual Studio, Spyder, Anaconda, GNU OCTAVE, Oracle SQL Server, Jupyter Notebook

Programming Languages: C#, C, C++, HTML, CSS, XML, JAVASCRIPT, .NET, JAVA

Other Skills: IP, MPLS, ISIS, OSPF, BGP, EIGRP, LTE, Routing, Switching

PROFESSIONAL EXPERIENCE:

Confidential

Data Analyst

Responsibilities:

Manipulated, cleaned and processed network health data with Excel, SQL for R-Jio’s SAP MM auto work order generation operations
Used Tableau for making dashboards and reporting network data in weekly dashboards to evaluate IPMPLS operational performance
Developed POC with Python script to identify the dead nodes which helped in saving 20% of the operational expenses
Performed forecasting on network health based on environmental features
Supervised root cause analysis on catastrophic network outages, and helped to devise solution for their mitigation
Performed fault analysis on repetitive major network outages due to various domain and helped to resolve 2000 faults in 40 days
Managed daily scrum meetings with the development team for developing an android application for network engineers to identify and input fault data
Implemented one plus one redundancy strategy to minimize risk of Network failure by natural and human acts
Audited routers and switches located in network core facilities for operational acceptance

Confidential

Graduate Engineering Trainee

Responsibilities:

Configured 100+ access level cisco routers with Confidential for network operation
Supported for trouble ticket creation, updation and solution on hpsm tool
Documented and implemented best practices for router replacement activity for field technician which resulted in 40% less outages during troubleshooting
Coordinated with vendor team of Cisco and Juniper for resolution of IP MPLS software and hardware TAC Issues
Managed spare availability across network by distributing spares as per the design basis & fault count
Audited routers and switches located in network core facilities for operational acceptance

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