Résumé

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Experience

Renaissance Learning, New York, NY (2017 – Present)

Technical Data Product Manager, Ecosystem (January 2022 – Present)

  • Oversee data engineering operations and platform development for a cross-department data analytics warehouse.
  • Architect data pipelines integrating databases and services for Sales and Revenue Operations, Marketing, and Product teams.
  • Manage a small team of data engineers, to ensure clear and performant code on a CI/CD delivery pipeline.
  • Create and improve new and existing data models and data pipelines using dbt alongside a Snowflake data warehouse.
  • Head a professional development program to train employees on data analysis, privacy, and other topics.
  • Interview stakeholders (data consumers and trainees) to assess how data products, training, and resources meet their needs.
  • Lead paid and unpaid internships, managing projects, instruction, and growth opportunities for 21 student interns.

Data Scientist II, Learning Sciences & Innovation (June 2020 – January 2022)

  • Analyze difficulties and sequencing of instructional resources to ensure an effective and smooth learning path.
  • Inform key business strategy partnership and acquisition decisions related to ML technologies and research.
  • Lead the first “Shark Tank” competition, with over 50 submissions, as part of an initiative to drive workplace innovation.

Data Scientist I, Learning Sciences & Innovation (January 2018 – June 2022)

  • Operationalize student mastery algorithms that layers ML approaches with traditional psychometric methodologies.
  • Conduct ad-hoc studies on equating assessments, practice and instructional efficacy, and assessment design enhancements.

Intern, Learning Sciences & Innovation (April – December 2017)

  • Research, prototype, and develop ML student scoring algorithms used to drive student mastery recommendations.

Teaching

STEM Activity SpecialistNYC Mission Society, New York, NY (September 2016 – June 2017)

  • Develop and implement a STEM-focused academic enrichment curriculum benefiting low-SES middle school students in an after-school program.
  • Supervise activities and monitor scholars’ behaviors to ensure safety, appropriateness, and engaged learning.

Lead TeacherEast Harlem Tutorial Program, New York, NY (Summer 2016)

  • Lead instruction of EV3 Lego robotics for Grade 7 summer STEM enrichment classes.
  • Facilitate and assess students’ progress and proficiency with hard and soft computer science skills. 
  • Engage students in inquiry-based lessons based on established curriculum and specific classroom needs.

Private TutorSelf-Employed (2015 – 2018)

  • Provide individualized instruction for over thirty students in physics, precalculus, English, and SAT preparation.
  • Deliver detailed session logs and progress reports to students’ parents and guardians.

Physics TeacherPompton Lakes High School, Pompton Lakes, NJ (2012 – 2015)

  • Teach AP Physics, Honors Physics, General Physics, Principles of Chemistry and Physics, and Integrated Science.
  • Lead curriculum development for all physics course offerings, realigning curricula to NGSS and AP guidelines.
  • Collaborate with support staff to ensure that all 504 Plans and IEP requirements are met to satisfaction.
  • Founder and Advisor of Environmental Club. Volunteer for many arts-related extracurricular activities.

Education

  • M.S. Learning Analytics, Teachers College, Columbia University, May 2018

Select Coursework

  • Core Methods in Educational Data Mining
  • Learning Analytics: Process and Theory
  • Multidimensional Scaling and Clustering
  • Managing Educational Data
  • Human Cognition and Learning
  • Psychological Measurement
  • Instructional Design of Educational Technology
  • Theory and Programming of Interactive Media

May 2018

  • B.S. Physics, B.A. Music, Susquehanna University, May 2009
    • Minors in Mathematics and Music Technology
    • Concentration: Classical guitar

Technology Skills

  • Data Engineering: Snowflake, dbt, jinja, Fivetran, AWS: S3, Athena, Lambda
  • Databases: Snowflake, MongoDB, PostgreSQL, Solr, Hive / Hue, GraphQL, AWS: RDS, Athena
  • Machine Learning: Python (pandas, scipy, matplotlib, bokeh), R (dplyr, tidyr, ggplot2), AWS: SageMaker, Polly, Rekognition
  • Analytics and BI Software: Tableau, Microsoft Power BI, SPSS, RapidMiner
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