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Data Scientist / Architect Resume

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Charlotte, NC

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SUMMARY:

  • Excellent communication skills. Highly analytical, objective focused with strategic thinking, effective leadership and solution delivery track record. Builds and maintains long term relationships with clients and internal teams, high personal and professional integrity, great ability to apply data, AI solutions to business challenges.

PROFESSIONAL EXPERIENCE:

Confidential, Charlotte NC

Data Scientist / Architect

Responsibilities:

  • Machine - learning data preparation and model development: Python, DataRobot, SQL
  • Machine-learning projects integration and deployment
  • Data provisioning and feature engineering
  • Machine learning coach
  • AI use case development and review
  • Data science architecture document development
  • Big data, data lake architecture

Confidential, Charlotte NC

Senior Data, IT and Enterprise Architect

Responsibilities:

  • Build sales prediction models with various algorithms (C45, Random Forest, XGB, AdaBoost)
  • Extensive metrics and feature engineering
  • Data science projects data provisioning
  • Review and recommend data management strategies
  • Architect and design end to end BI and Analytics solutions
  • Full cycle data warehouse, ODS and data mart design and implementation
  • Customer facing data solutions architect and data steward
  • Dimensional and third normal form data modeling and lead metadata review sessions
  • Engineer data featured for sales, sales forecast pattern analysis
  • Build and review KPI and customer business metrics
  • Create Random Forest, Bayes rules, SVM models for sales prediction
  • Mentor peers in methodology adoption, best practices, data quality and data integrity
  • Lead customer boarding. orientation and sessions
  • Ensure data privacy and restriction compliance (SOX, EU Safe Harbor, EU Work Council, etc.)
  • Worldwide CRM data subject matter expert
  • Organizational data quality assessment and review
  • Lead and execute solution assets data migration and data integration
  • Architect, launch 5+ turnkey data warehouses, datamarts and operational data stores
  • Introduce and lead the implementation of new technology tools
  • Lead the launch and implementation of the IBM Global CRM operational data store
  • Lead data scientists in CRM feature selection and extraction.
  • Review domain specific solution architectures
  • Provide general guidance and mentorship to solution architects
  • Work with line of business architects on business transformation plans
  • Plan and recommend technical asset migration and sunsets
  • Serve on the global architecture board for compliance guidelines reviews
  • Analyze domain assets functional redundancy
  • Review solutions for domain and transformation plans alignment and migration potential
  • Ensure proper solution staffing, interview and train newly hired architects
  • Review solution viability and recommend build or buy decisions
  • Review vendors and technologies, lead POC efforts
  • Lead IT assets sunset negotiation and migration.
  • Gather, document, review business requirements with clients
  • Develop and review technical requirements with project managers and IT specialists
  • Scrum master and lead for US and global teams
  • Develop and provide guidance to document use cases and test cases
  • Mentor peers in methodology adoption and best practices
  • Train and mentor solution and data architects
  • Build and present release roadmaps to clients and other stakeholders
  • Develop and review user, system, UAT test plans

Confidential, Charlotte NC

Responsibilities:

  • Data extraction and preparation, statistical aggregation
  • Feature engineering
  • Manual labeling optimization
  • Decision tree: C45, Random Forest, Adaptive boosting, XGBoost
  • Neural Net, Convolutional Neural Net, Recurrent Neural Net
  • SVM: Linear, Polynomial.

Confidential, Armonk NY

BI Consultant

Responsibilities:

  • Developed turn-key products and solutions for the automated data acquisition and reporting
  • Developed voice synthesis enabled information collection system
  • Developed complete Oracle PL/SQL automotive retail showroom system
  • Led complete IT development and implementation cycles including POC, prototype, development, testing and deployment
  • Taught Oracle reports classes and university classes in research methodology and algebra.

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