Big Data Analyst Resume

SUMMARY:

Over 14 years of extensive experience in IT including 7 + years of experience in managing all aspects of data science and Big Data: data design, data mining, hypothesis testing, statistical modeling, machine learning algorithms and predictive analytics in consumer behavior, product development and product pricing.
Experience in ensemble methods like boosting, bagging, linear and logistic regression and random forest for building models and machine learning
Experience in Funnel Analysis using Markov Chains with Customer level data to find the best paths in machine learning.
Experience in TensorFlow, Neural Network (CNN, RNN).
Experienced in deploying enterprise data management solutions and consolidating multiple data Sources to unified single interface for management decision support system consisting of dashboard analytical reporting engine.
Experience in designing and implementing NoSQL database stores such as MongoDB, HBase, Cassandra
Experience in analyzing data using Hive QL, PIG Latin, and custom Confidential programs.
Experience in importing and exporting the data using Sqoop from HDFS to Relational Database Systems / mainframe and vice - versa.
Experience in development, implementation and testing of Database projects.
Background with traditional databases such as Oracle, DB2, SQL ServerETL tools / processes and Data Warehousing architectures.
Strong knowledge in all phases of Software Development Life Cycle
(SDLC) Commended for technical, analytical and problem-solving skills; effective task prioritization on various engineering disciplines to troubleshoot complex system-level issues.
Strong Communication skills of written, oral, interpersonal and presentation
Ability to perform at a high level, meet deadlines, adaptable to ever

TECHNICAL SKILLS:

Data/Statistical packages: R, PythonSpark, SparkR, Pandas, Scikit, TensorFlowMachine Learning, Map Reduce

Big Data Ecosystem: HDFSHBase, Hadoop Confidential, AmbariZookeeper, Hive, Pig, Sqoop, FlumeYARN, Oozie, Tableau, Storm, SparkMahout, Scala, Junit, Cassandra, ImpalaKafka, Hue,JSON, XML, Devops, ChefJenkins,Git, knife, Logstash, KibanaVagrant, Ruby.

Languages: C, C++, Java, J2EECOBOL, JCL, CICS, And SQL/PLSQLRuby

Methodologies: Agile, V - model and Waterfall model.

Database: Oracle 10g, PL/SQLDB2, MySQL, Cassandra, MongoDBHBase, IMS DB, VSAM, MS SQL server, Amazon EC

Web Tools: HTML, Java Script, X

Languages: C, C++, Java MLODBC, Java Beans, EJB, MVC, AjaxJSP, Servlets, Java Mail, StrutsIDE / Testing Tools Eclipse.

Operating System: Windows, UNIXLinux, MVS, IBM Z/OS.

Scripts: Shell Scripting, Python, Scripting, JavaScript.

Distribution: Cloudera and Hortonworks

PROFESSIONAL EXPERIENCE

Confidential

Big Data Analyst

Responsibilities:

Experienced in deploying enterprise data management solutions and consolidating multiple data Sources to unified single interface for management decision support system consisting of dashboard analytical reporting engine.
Experience in designing and implementing NoSQL database stores such as MongoDB, HBase, Cassandra
Experience in analyzing data using Hive QL, PIG Latin, and custom Confidential programs.
Experience in importing and exporting the data using Sqoop from HDFS to Relational Database Systems / mainframe and vice - versa.
Experience in development, implementation and testing of Database projects.
Background with traditional databases such as Oracle, DB2, SQL ServerETL tools / processes and Data Warehousing architectures.
Strong knowledge in all phases of Software Development Life Cycle
(SDLC) Commended for technical, analytical and problem-solving skills; effective task prioritization on various engineering disciplines to troubleshoot complex system-level issues.
Strong Communication skills of written, oral, interpersonal and presentation
Ability to perform at a high level, meet deadlines, adaptable to ever

We provide IT Staff Augmentation Services!

We'd love your feedback!

Resume Categories

Client Services

Job Seekers

Visa Sponsorship