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Data Scientist Resume

SUMMARY:

  • Seasoned technology professional with demonstrated experience building complex intelligence systems for optimizing marketing and financial performance.
  • Able to significantly improve marketing ROI by integrating internal and external data assets and using most sophisticated, scalable classification algorythms for precise targeting.
  • Experience in marketing analytics architecture, complex systems design, software development lifecycle, financial data analysis, knowledge - based and direct marketing systems, B2B and consumer logical and physical database modeling, dimensional modeling, ETL, metadata management, web log and transaction log analysis and data mining techniques.
  • Excellent written and oral communication and presentation skills

TECHNICAL SKILLS:

  • Google Analytics
  • Excel, Tableau
  • AdWords, FB audiences
  • SSIS, SSRS, SSAS
  • Google GTM, Integration
  • Ab Initio
  • Hadoop, Spark
  • Visual Studio Development
  • C#
  • ERWin
  • Python
  • Git

PROFESSIONAL EXPERIENCE:

Confidential

Data Scientist

Responsibilities:

  • Enhanced product offering while reducing churn by 30% through integrating Google Analytics with existing analytics infrastructure.
  • Significantly improved targeting by including 360 degree view of customer interests into existing list generation process.
  • Improved customer experience by introducing new QA code that was able to catch complex billing issues.
  • Improved analytics for every customer-facing department in the company.

Confidential

Principal

Responsibilities:

  • Used C# for gathering, real-time and batch ETL processing of various high and low latency financial market data.
  • Used sophisticated data quality procedures to ensure clean data in and out.
  • Data mining market data and establishing patterns and causality relationships using state of the art machine learning technologies.
  • Developing and implementing trading algorithms.
  • Ab Intio and Informatica consulting - financial data processing, data modeling, and data quality assurance.

Confidential

Consultant

Responsibilities:

  • Developed logical and physical database structures to capture results of clinical tests.
  • Provided statistical input for design of protocols.
  • Recommended statistical designs that would be acceptable to regulators.
  • Analyzed and reported results of clinical trials. Provided tables, listings and graphs for final study reports.
  • Provided project requirements to programmers, managed outside CROs and consultants.

Confidential

Consultant

  • Translated user and marketing requirements into reports supporting multiple functions within organization.
  • Interfaced with clients and outside data providers, processed data and disseminated reports.

Confidential

Technical Project Leader

Responsibilities:

  • Translated user and marketing requirements into product specifications.
  • Used specs to develop business case, system architecture and staffing requirements.
  • Tested various software tools and data providers.
  • Provided technical expertise in evaluating strategic partnerships.

Confidential

Database Administrator

Responsibilities:

  • Managed data warehouse, supported and trained business users.
  • Developed logical and physical models, transformed, loaded and analyzed data.
  • Lead a team of external consultants and programmers in documenting source systems.
  • Evaluated, recommended and procured B2B data and software solutions.

Confidential

Actuarial Student

Responsibilities:

  • Developed actuarial model projecting financial performance for overseas operations.
  • Developed reporting data warehouse for voluntary group business.
  • Developed metadata for source systems business rules, overseeing a team of programmers. Audited data for accuracy and completeness.
  • Developed logical and physical models, transformed, loaded and analyzed data.
  • Built a model to measure the value of improvements in sales, customer retention and expense savings for performance measurement and compensation.
  • Oversaw department's budgeting and financial reporting functions.

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