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Data Analyst Resume

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TECHNICAL SKILLS

Technical: Python, SQL (SSIS, SSRS), AWS, Github, UNIX/Linux, Tableau, Hadoop, Hive, JavaScript, HTML, Adobe CS, Excel (macros and pivot tables), SharePoint… and always learning something…

Professional: Agile development, scrum, data warehouse development/maintenance, data visualization, continuous integration, Big Data, root cause analysis, code review.

PROFESSIONAL EXPERIENCE

Confidential

Data Analyst

Responsibilities:

  • Created a unified tracking tool to compile data reports across a dozen platforms and prioritize consolidation/remediation/retirement of outdated reports.
  • Generated interactive customer - facing portal based on evolving requirements.
  • Successfully migrated large datasets (millions of rows) between Teradata, Hadoop, and AWS.

Confidential

Production Support Analyst

Responsibilities:

  • Successfully launched a national data warehouse, synthesizing 8 companies’ data while they implemented a major front-end changes.
  • Maintaining a stable code base by supervising version control between 12 developers.
  • Point-of-contact for customer requirements, from developers to CIOs.
  • Automated reports and dashboards to instantly assess data quality and ETL progress.
  • Triaged all system-level incidents during development and production.
  • Owning server traffic, performance, and security as the primary system administrator.
  • Testing SQL code to improve data reliability, speed, storage efficiency, and bug response.

Confidential

Data Scientist

Responsibilities:

  • Created granular (precinct-level) reports combining voter turnout and demographic data.
  • Predicted pricing and load demands on Boston’s energy grid with 93% accuracy.
  • Automated statistical reports on climate trends, election results, sports scores, and film reviews for popular websites.
  • Scored in top 25% of competition using demographic data to predict Titanic survival rates.
  • Completed over 50 hacking challenges on projecteuler.net and Confidential .com.
  • Designed a functional mock-up of Instagram’s DB management system with IP logging.

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