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Data Analyst (staff Developer) Resume

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San, FranciscO

SUMMARY:

  • 5 years of mobile app analytics experience.
  • 3 years of experience with Hadoop systems.
  • 1 year of experience with Spark streaming /Spark SQL.
  • Fluency in SQL.
  • Python project development experience.
  • Moderate experience with R.
  • Proven track record of leveraging analytics and large amount of data to drive significant business impact.
  • Solid understanding of statistical principals and experimentation design.
  • Self - driven and passionate about data science.

TECHNICAL SKILLS

  • Oracle DB, Confidential DW.
  • Hadoop, Hive, Pig, Spark, Spark Streaming, Spark SQL
  • OBIEE, SAS Enterprise Guide, Confidential, Tableau, Excel/ Excel pivot
  • SQL,SAS, Python, R, Scala
  • SAS Business Intelligence Platform Administration, SAS EG,SAS base, SAS Macro, SAS ODS
  • Mobile App Analytics
  • Statistical Analysis

PROFESSIONAL EXPERIENCE

Data Analyst (Staff Developer)

Confidential, San Francisco

Responsibilities:
  • Performed big data analyses to provide insight for product (or feature) design or improvement using tools such as SQL/ SAS/ Excel etc.
  • Contributed to the company's efforts of building modernized analytical data infrastructure in scrum agile development using tools such as spark streaming/ bash shell/ python / Scala / SparkSQL/

Confidential

SQL

Responsibilities:

  • Performed security analysis from defining the problem scope, collecting data from different sources, processing data, generating segmented targeting and monitoring campaign progress.
  • Awarded for outstanding performance.
  • Provided statistical analysis of the impact of new feature introduction on user engagement, including experimentation design.
  • Provided automated extensive customer segmentation reports to monitor adoption of the new feature.
  • Built real-time data pipelines using kafka / spark streaming/ Cassandra.
  • Created type 2 SCDs ETL in cloud Confidential data warehouse.
  • Verified new deployments in Confidential and pinpointed causes of data quality issues.
  • Built python- Flask user authentication web application and responsible for integrating Flask applications of team works.
  • Built LookML dashboards using Confidential .

Data Analyst (Senior Developer)

Confidential, San Francisco

Responsibilities:

  • Performed ad-hoc data analyses and data extraction requests using SQL/ SAS / Excel.
  • Built processes and metrics dashboards to make data more accessible using SQL/ SAS /Excel/
  • Extracted insights from mobile app behavior data and third-party customer data by statistical analysis, segmentation analysis, cohort analysis to drive engagement, improve user experience and increase revenues.
  • Developed user analytic data marts to facilitate ad-hoc big data analysis, reducing reporting turnaround time from days to hours and greatly improving business users’ productivity.
  • Built rich, high-visibility, automated reports / dashboards used by a diverse set of teams across the company.
  • Refactored code for legacy SAS/ Excel dashboards for external formulary clients, reducing reports’ running time from a week to 2 days and improving accuracy.
  • Built custom third-party data sharing products for the sales team, increasing sales by 5%.
  • Developed python MapReduce ETL jobs to ingest common logging event JSON data into HDFS/ Hive using Hadoop streaming.
  • Earned Confidential ’s annual ‘Extra Mile Award’.

Data Analyst

Confidential, San Francisco

Responsibilities:

  • Extracted actionable insights from mobile app behavior data and third-party physician datasets by statistical analyses, segmentation analyses, cohort analyses to drive engagement, to improve user experience and to increase revenues.
  • Performed homescreen click density analysis, leading to the development of 40 million homescreen messaging commercial product.
  • Improved user account linkage by linking users with associated device, enhancing accuracy of customer analysis.
  • Provided data extraction for effective and efficient campaign targeting.
  • Developed monthly NPS (net promotor score) survey stratified sampling algorithm.
  • Tuned SAS ETL, leading to implementation of daily refresh instead of previous weekly refresh of data marts.
  • Upgraded SAS Business Intelligence Platform from 9.2 to 9.4.

Postdoctoral Researcher

Confidential

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