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Data Analytics Intern Resume



  • 3 years of professional experience in big data analytics with strong interest in Data Science & Machine learning


Programming Languages: Python, R, Java, SQL/PLSQL, SAS, STATA, Matlab, Linux/Unix scripting, C, C++,HTML,CSS, JSON, JavaScript

Big data: Spark,PySpark,Hadoop, NoSQL, MapReduce, Sqoop, Hive, Flume, Solr, Nifi

Library: Scikit Learn, Pandas, Numpy, Keras, Tensorflow, MLlib, Pandas, NLTK, flask

Cloud technologies: Amazon web services (AWS)

Database: Oracle 11g/12g, MySQL, Postgres, Mongo DB

Data Analytics Tools: Tableau, SAS, Google Analytics, IBM SPSS, SSIS


Data Analytics Intern

Confidential, Addison


  • Developed a web based analytics/visualization tool using R shiny/ggplot2/plotly for architectural acoustic data
  • Modified existing application to add statistical analytics/visualization of business data using python flask

Project Engineer



  • Built automated data pipelines to import Asset/Inventory data by developing Java/SQL/PLSQL,ETL jobs to collect, centralized large - scale data from sources like third party vendors and database application to facilitate data integration for IBM Maximo asset management system(ERP) for clients like SFR(France) and Cisco(USA)
  • Built automated reporting solutions using BIRT and IBM Cognos Reporting tools

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