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RESUME

 
 
Data Analyst
Yokogawa Asia
India/Abu Dhabi
July 2013 to May 2015
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  • Recommended business insights of cost-benefit, forecasting and experiment analysis with effective presentations of findings using Tableau.

  • Accessed, prepared and blended data 35% faster using SSIS than other ETL tools.

  • Wrote and analyzed trending reports, drew extrapolations from findings to/with the project manager and cross sectional team (SSRS, Excel, SQL Queries)

  • Data Ingested using Hive and Pig and using Sqoop to read/write data from MySQL to / from HDFS.

  • Handled variety of data formats JSON, Hive, Parque, JDBC, disparate datasets; manipulated and analyzed using Spark SQL and SparkR and achieved 300% faster and optimized result.

  • Used metastore tables as an input source or an output sink for Spark applications.

  • Achieved easy processing and insertion immune by utilizing pivot table, V and H

 

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Work​
experience​
Anchor 1
Education
Masters in Management and Information Systems
Oklahoma State University

​August, 2015 - present

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As  a  student in Data Science I have exposed to courses  such as Data base marketing,;​emphasizes the use of statistical techniques to develop models of data.

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Advance Database Management system ,application that interacts with the user, other applications, and the database itself to capture and analyze data.

 

Business Intelligence ,techniques and tools for the acquisition and transformation of data for Business analysis.

 

Data Warehousing,system used for reporting and data analysis, and is considered a core component of business intelligence.

 

Data Mining,computational process of discovering patterns in large data sets using algorithms.

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Data Visualization,involves the creation and study of the visual representation of data.Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data.

 

Big data analytics is the process of examining large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information.

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Skills

IBM SPSS Modeler ,

Tableau9.1 ,Rapid Miner

Microsoft visual studio 2012,

SQL server management(SSIS, SSRS and SSAS)

SAS Enterprise Guide,

SAS Enterprise Miner,

SAS Base

Big Data Ecosystem : Hadoop,map reduce, Spark, Sqoop Impala, Hive, YARN.

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Languages

C

C++

Java

SAS

R

Python

Scala

SQL

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