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 Specialist – NYC 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 Teacher – East 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 Tutor – Self-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 Teacher – Pompton 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