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Data Analyst Resume

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Bellevue, WA

TECHNICAL SKILLS:

  • SQL
  • R
  • Power BI
  • Excel
  • Tableau
  • DAX, VBA
  • Cube
  • Python
  • Machine Learning marketing data.

PROFESSIONAL EXPERIENCE:

Confidential, Bellevue, WA

Data Analyst

Responsibilities:

  • Communicate wif clients, stakeholders to get requirements and make presentations.
  • Program in R for Prediction/Forecasting ARIMA model, conduct Hypothesis Test, Experiments for AB test, Clustering, Sampling design.
  • Deliver and publish online teh visualization reports in Power BI and Excel to provide important data matric for decision making.
  • Design database structure, program in SQL - Server to query, create VIEW, Stored Procedure on maintenance purpose.
  • Work wif tabular cubes, ETLs, handling large amount of marketing data.
  • Program in Python for Linear model to find key factors in budget forecasting model.

Confidential, Bellevue, WA

Consultant

Responsibilities:

  • Design and maintain database structure, program in SQL, manipulate data in SSIS/SSAS for data mining purpose.
  • Create scorecard in excel for KPI management purpose wif teh skills of VBA Programming, SQL Programming.
  • Perform visualization reports in TABLEAU by creating slides and storytelling to catch project progress key point in teh management.
  • Publish and document report in Share Point associates wif MS Access.
  • Organize and deliver presentations to clients, stakeholders, explain project results of dashboard and quantitative models.
  • Program Management wif Six Sigma on ongoing quality improvements in teh Services Management & Support Practice teams, helps define, drive and maintain continuous quality improvement for a large, fast-growing support team.

Confidential

Senior Quantitative Analyst

Responsibilities:

  • Manipulated big data in Hadoop for data mining purpose.
  • Analyzed user’s visit attribute using Google Analytics tools set and communicate wif vendors towards online advertising function.
  • Delivered dashboard in Excel by creating Pivot Table, Power Pivot and Power Point.
  • Set up quantitative models to analyze teh macro-economy investment environment for Stock Market. Give investment suggestions to Fund Managers.
  • Verified inflation rate and other economy indicator’s relationship by Granger method.
  • Analyzed macroeconomics investment environment by checking inflation rate’s influence, setting up VAR, GARCH, MCMC, MSVAR methods.
  • Determined key metrics to analyze relationships between economic indicators and market performance, forecasted teh economy operation trends.
  • Made presentations to teh investment managers by using power point to explain models, discussing investment strategy.

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