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Data Analyst/ Data Engineer Resume

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Menlo Park, CA

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SUMMARY:

  • 2+ years of constructive experience in data analytics and data mining
  • Strong skills in data visualization using Tableau.
  • Executed several projects in data analytics spanning across the analysis spectrum including data management, statistical insights, predictive modelling and forecasting.

TECHNICAL SKILLS:

Computer Languages, Software & Tools: Python, R, Java, Tableau, R Studio, MySQL, Hive, Apache Thrift, Dataswarm Studio, Weka 3.8, Eclipse, IDLE, Amibroker.

Relevant Coursework: Data Structures & Algorithms, Data Mining Tools & Techniques, Financial Data Mining, Research Methods, Statistics & Computing, Advanced Operating Systems, Database Management Systems.

PROFESSIONAL EXPERIENCE:

Confidential, Menlo Park, CA

Data Analyst/ Data Engineer

Responsibilities:

  • Create Tableau Dashboards for upper level management, capacity planning and demand engineers to depict regional infrastructure demands for expense allocation.
  • Prepare budgeting and reconciliation reports across various internal Confidential systems.
  • Integrate different data extracts as well as live data.
  • Create Dataswarm pipelines to move data across various database systems
  • Create micro services and python scripts using Apache Thrift framework
  • Write python scripts for backend support
  • Meeting with business stakeholders for proactively identifying problem and addressing advanced analytics required to meet business requirements
  • Data preparation work (e.g., source, scrub, mine and integrate relevant data sources)

Confidential

Senior Software Engineer

Responsibilities:

  • Meeting with business stakeholders for gathering requirement and provide Tableau reports for executives.
  • Prepare data (clean, munge, impute missing values) for reporting use.
  • Univariate and Bivariate analysis for descriptive statistics of the data
  • Build movie business reports using Tableau
  • Present and provide report insights to the client.

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