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Data Scientist Resume

Atlanta, GA

SUMMARY:

Versatile and highly skilled data scientist with an expert ability to apply advanced analytics architecture, technologies, and programming to solve business processes, data mining, and develop strong predictive models and data warehouse architecture to provide solid business value. Demonstrated expertise in the utilization and application of machine learning to propel data discovery and new insights. Adept leader capable of both efficiently managing projects and collaborating to achieve project completion. Successful communicator and influencer, with the ability to facilitate data science knowledge and interaction through digital/ direct and indirect channels.

AREAS OF EXPERTISE:

  • Predictive Modeling
  • Data Statistical Preparation
  • Visualization
  • Analytic Solutions
  • Machine Learning
  • Data Warehousing
  • Software Development Lifecycle
  • Team Leader
  • Data Mining
  • Programming
  • CRISP - DM Methodology
  • Technical Documentation

TECHNOLOGY PROFICIENCIES:

Big Data Analytics: Python, Spark, Scala, KNIME

Database RDBMS: Oracle 10g, 9i, 8i, MS SQL Server 2005, DB2, Teradata, MS Access, SAS, DataEase

Analytics/Report: Tableau, R, IBM SPSS Modeler, IBM SPSS Statistics, SAS, Weka, Oracle Discoverer, MS SQL Server (SSAS, SSIS, SSRS), MS Access, ESRI MapObjects LT, Metaphor GUI, DataEase, dynamic Excel

Database Modeling Tools: Erwin, PowerDesigner

Programming: R, SAS, SQL, Python, Scala, Spark

PROFESSIONAL EXPERIENCE:

Confidential, Atlanta, GA

Data Scientist

Responsibilities:

  • Exploratory Data Analysis (EDA) and data preparation of Health Claims to create Machine Learning Classifiers addressing adjustments to payment savings calculations.
  • Feature engineering for Machine Learning applications to detect Health Claims Payment Fraud.
  • Leadership on Big Data training in Spark/Scala for the Analytics/Digital Team. After training myself on Spark/Scala, I prepared comprehensive training material on Spark/Scala and held training workshops for several groups to expedite the adoption of Spark/Scala for the ingestion and data preparation of big data.
  • Research and prepare best practices templates for Spark/Scala to implement pipelines for ingesting and preparing data.
  • Research and diagnose Spark configuration parameters that best utilize the Hadoop cluster resources to denormalize or flatten Client source data that are considered Big Data (~4 billion rows x 434 fields at 20 TB storage size, per file). The research performed was very helpful in moving the organization in the right direction for leveraging the spark framework.

Confidential, Tampa, FL

Data Scientist and Senior Developer

Responsibilities:

  • Evaluates and identifies Health and Financial Risk factors on Health Plan Populations by using Correlation, Segmentation, Regression, and Test Statistics on Clients’ Healthcare Plan data to gain new Clients and maintain existing Clients.
  • Co-development of Health Economics Data Products to automatically derive PMPM and UM Rates to aid Sales decision making as to the viability of prospective Clients.
  • Co-development of Medical Data Products to automatically identify Health Plan Members with Diabetes and Asthma for focused Care Management.
  • Prepares Healthcare data and feature engineering for the application of Machine Learning techniques utilizing R to detect data patterns and performs EDA to identify Important Variables on Big Data.
  • Timeseries and Forecast model development and implementation on Healthcare Utilization data.
  • Integrates health care data from disparate data sources to create data sets to be used in R.

Confidential, Tampa, FL

Data Solutions Architect

Responsibilities:

  • Prepares data and feature engineering after analyzing data elements utilizing R, SAS, and IBM SPSS Modeler.
  • Selects final model based on test statistics evaluation and a comparison of model performance measures.
  • Applies machine learning algorithms to detect data patterns and resolve anomalies.
  • Leads team in troubleshooting, provides valuable insights through deep analysis, and mentors junior team members in analytics process, data warehousing, business intelligence, and data integration.
  • Completes data discovery utilizing SQL on the EPIC source system and performs EPIC data profile to map data to HL7 standards for storage.
  • Creates and executes warehouse architecture framework and presents initial roadmap for data products.

Confidential, Evanston, IL

Graduate Teaching Assistant

Responsibilities:

  • Assisted in the instruction of machine learning techniques and their application to business process uses.
  • Created a presentation on the utilization of R and CRISP-DM methodology in data science to aid Confidential program students participating in Kaggle competitions.
  • Researched a range of data science applications and machine learning techniques given different variables in use cases and data sets.

Confidential, Tampa, FL

Senior Enterprise Data Warehouse Architect/Business Intelligence Architect

Responsibilities:

  • Created and implemented the Business Intelligence Data Warehouse Strategy, Road Map, and Architecture Solution that covered a variety of domains including Referral, Authorizations, Claims, and Billing.
  • Designed architecture that facilitated data mining without requiring business users to perform table joins or SQL coding and contained descriptive fields that allowed for dynamic slice and dice analytics.
  • Completed data modeling using Erwin 8.2. and data discovery using Tableau and TOAD.
  • Lent expertise to the data stewardship process that ensured data integrity during the project lifecycle.
  • Collaborated with Infrastructure to set project scope and establish hardware and software environments for the Enterprise Data Warehouse Project.

Confidential, Tampa, FL

Senior Enterprise Data Architect

Responsibilities:

  • Led the design and development of the new Enterprise Data Warehouse (EDW) and ensured that conformed dimensions were correctly utilized across data models.
  • Presented explanations, content, and progress updates to stakeholders and ensured system-wide buy-in.
  • Developed architectural artifacts in Sybase PowerDesigner that included a Data Dictionary, Entity Relationship Diagrams, DDL scripts, and a Conceptual Data Model.
  • Ensured consistency throughout data models by managing metadata naming standards across all model objects.

Confidential, Boston, MA

Principal Consultant/Principal Data Architect

Responsibilities:

  • Determined and documented the technical requirements needed to design ETL processes and laid foundational architectural framework.
  • Automated the data extraction from two data warehouses and delivery to several outside agencies.
  • Assumed responsibility for meeting project workflow and architectural standards established by client.
  • Reverse-engineered the logical and physical architecture of a CustDW database designed to provide a foundation for data integration during a bank merger.
  • Coached junior architects on ETL, Data Warehouse architecture, and data mapping.
  • Acted as a subject matter expert on all key facets of project roadmaps including ETL architecture, contract dependencies, client requirements, web site, data modeling, and project history.

Confidential, Tampa, FL

Data Architect

Responsibilities:

  • Designed data architecture to enable source data extraction, transformation, and load into data mart and provide business intelligence reports on revenue, cost, and transactions.
  • Created conceptual, logical, and physical data models utilizing ERwin.

Confidential, Tampa, FL

Team Leader—Data Management

Responsibilities:

  • Directed the design of three customized data marts as well as business intelligence and operational reports.
  • Drafted standards implemented by the team to define software development lifecycles.

Confidential, Tampa, FL

Owner, Senior Data Architect

Responsibilities:

  • Designed, developed and executed projects as contracted by clients. Key projects of note include report developers, data modelers, database developers, and data warehouses.
  • Utilized tools including ERwin, SQL*Navigator, SQL*Plus, and Oracle PL/SQL.

Confidential, Tampa, FL

Senior Software Engineer

Responsibilities:

  • Developed and tested customized business intelligence reports for Oracle Enterprise Data Warehouse as well as financial and asset management modules.
  • Completed data discovery utilizing SQL on the Oracle Financials Applications 11i source system and performed data profile to map data to Enterprise Data Warehouse.

Confidential, Jacksonville, FL

Database Architect

Responsibilities:

  • Created and executed customized Oracle business intelligence Discoverer reports.
  • Reverse-engineered back-end database of the Oracle Financials Applications 11i to create data marts for the Discoverer reports.

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