Megan Masanz

Work Related

• 2020 Microsoft Customer Hackathons

  • Azure Data Factory CI/CD Pipeline Integration - Data Factory pipelines with CICD Pipeline

  • Spark Streaming - Event Generation to Event Hub, picked up via Spark Streaming & Leveraging Delta Lake

  • Azure Data Factory Storage Queue Write-Up - Leveraging Key Vaault and Rest APIs in ADF

  • Azure ML Hackathon - Azure ML: Building Basic Models in R & Python and Deploying

  • Azure Data Bricks ML Flow - Databricks & ML Flow - Building and Deploying Models with Azure ML integeration

• 2019 Self-Service Data & Analytics Platform

  • Collection: Collecting data from disparate source systems

  • Organization: Business Driven data model supporting reliable and effective storage

  • Preservation: Automating tagging data-sets based on REST API meta-data collection to cataloging of datasets

  • Transformation: Support reformatting for use by different tools or to match new format standards

  • Workflow & Integration: Support the ability to systematize data workflows

  • Discoverability & Sharing: Support sharing data between researchers, teams, and business groups

  • Provenance: Support identifying what inputs and calculations are responsible for data values

  • Modification: Support management of corrections and updates

  • Compliance: Ensure compliance to legal, regulatory, and local policy requirements

  • Security: Ensure that data is secure from tampering or inappropriate access and distribution

Education Related

Most repositories are marked as private, but repos can be made available apon request

CS598 Data Curation

• CS598: Data Curation Course Certification

• Examining theory behind dataset life-cycle management.

• Exploring metadata to provide data linage and exploration.

CS498 Cloud Computing Applications

• CS498: Cloud Computing Applications Course Certification

• CS498: Final Project repo

• Project Data Flow

CS498 Data Visualization

• CS498: Data Visualization Course Certification
• Leveraging D3 without the use of a web framework website

CS410 Text Information Systems

• CS410: Text Information Systems Course Certification

• CS410: YouTube Video

• CS410: Final Project repo

• Flask python jinja2 web application utilizing Azure Search and D3 visualizations against Patent Database

• Present form to end user for search criteria

• Provide criteria to the Azure Search API and receive results set
• Identify word tokens by frequency using the patent titles.
• Identify topics in the search results. Latent Dirichlet Allocation (LDA) and the Hierarchical Dirichlet Allocation (HDP) - methods are utilized to generate topic models and both models are displayed.
• Display results including patent meta data and patent abstract for browsing.

Stats 420 Statistical Modeling in R

• Stats 420 Course Certification