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Data Scientist Resume

Sunnyvale, CA

TECHNICAL SKILLS

TOOLS: SQL, PL/SQL, Hadoop, Python, R, SAS, SPSS, Excel, Tableau, Qualtrics, Google Analytics, JIRA, Git

DATA ANALYTICS: ETL, Data cleansing, Regression, Cluster analysis, A/B testing, Predictive models, Forecasting

BUSINESS ANALYSIS: Scrum/Agile, Communication, Cross - functional collaboration, User stories, Gap analysis, Reporting and Visualization, Product requirements document, Research, Business requirements specification

PROFESSIONAL EXPERIENCE

Data Scientist

Confidential, Sunnyvale, CA

Responsibilities:

  • Delivered product performance reports using SQL, Python and Tableau and conducted user behavior analysis on clickstream data to explore cross-sell opportunities.
  • Effectively made use of PL/SQL packages, procedures, functions, triggers, views and exception handling for retrieving, manipulating, checking and migrating complex data sets in Oracle.
  • Owned reporting feature for enterprise software - managed its direction, feature set and timelines. Improved overall product adoption by 15%.
  • Collaborated with cross-functional partners (PMO, data science, analytics, design, engineering) to gather and document business requirements in Agile, scope new features and inform the product roadmap.
  • Partnered with product owners and end users to carry out business process assessments to identify business needs and priorities.

Sr Market Research Analyst

Confidential, Emeryville, CA

Responsibilities:

  • Led strategy and global sales research studies for top tech companies like Microsoft, Google, Dell and HP.
  • Built user stories, wrote reports and delivered presentations to provide business/marketing strategies to technical/non-technical clients (Microsoft, Dell, HP, Google and Stripe).
  • Utilized statistical methods like regression analysis, conjoint analysis to analyze quantitative data with use of a combination of Python, SPSS, Excel and Tableau.

Research Analyst

Confidential

Responsibilities:

  • Worked with cross-functional partners to identify data sources to be used for discovery analysis, business cases and defining product value to present to stakeholders.
  • Managed end-to-end account-based research of Technology Infrastructure Services unit; facilitating in bagging multi-million-dollar fin-tech projects.

Software Engineer

Confidential

Responsibilities:

  • Involved in all phases of the SDLC (Software Development Life Cycle) from analysis, design, development, testing, implementation and maintenance with timely delivery against aggressive deadlines.
  • Provided meaningful insights on client data by creating ETL pipelines to extract large amounts of data, clean it and perform data analysis.
  • Developed dashboards and reports in Tableau to analyze customer, competitor and business unit performance.
  • SME for Google Apps Deployment - worked with clients to analyze requirements to build proof of concept, clarify design dependencies and support functional and operational requirements.

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