SUNY College at Geneseo Sep 2011 - May 2015
Bachelor of Science in Biochemistry
- Minors in mathematics and biomathematics.
Engineering Lead, Data Science and Analytics
Jun 2019 - Present
Founded Torch’s Data and Analytics team to enable data-driven decision
making through self-serve data access and advanced analytics through all
of Torch. This nimble team includes a analysts and engineers, and together
we provide data products that support our customer experience, sales,
marketing, finance, and product teams.
Created a data warehouse to store all organizational data, leveraging dbt,
git, and CI/CD to make it easy for analysts and engineers to contribute to
data modeling and testing tasks while maintaining data and documentation
Trained members from various teams on how to use Sisense for Cloud Data
teams for self-service reporting, and provided data team office hours to
support external analysts in how to best use our data warehouse.
Senior Engineer Apr 2018 - Jun 2019
As Torch’s founding engineer, I served as a leader of four full-stack
engineers in the creation and maturation of scalable leadership coaching
platform from Seed funding though a $10M Series A funding round.
Took part in multiple greenfield development opportunities including PoC
analytical systems and third-party API integrations.
Implemented and maintained of multiple production AWS systems, including
RDS databases, S3 buckets, queues, and Elasticache clusters leveraging
Infrastructure-as-Code and CI/CD.
Delaware North CompaniesJan 2016 - Apr 2018
Responsible for the development and maintenance of Delaware North’s
enterprise-wide data platform and data products. This included working
with a diverse set of stakeholders including MLB and the NHL.
Creation a fully automated data validation system that identifies and
corrects errors at over 50,000 records per minute.
Spearheaded the design and creation of a fully automated framework to
deploy Redshift data warehouses storing analytically-relevant subsets of
Delaware North’s data platform.
Performed research exploring applications of computer vision, voice
recognition, conversational AI, and IoT devices in the hospitality
industry and developer ergonomics.
OmniSeq, LLC Jun 2015 - Jan 2016
Designed and implemented RESTful APIs and web applications for laboratory
information systems, clinical report management, and medical informatics.
These systems operated in a highly regulated environment and passed FDA
and CLIA approvals for HIPPA and 21 CFR part 11.
Developed new functionality for an internal Clinical Laboratory
Information Management Systems (C-LIMS). This included sample management,
navigating molecular diagnostics protocols, and research and development
Cultivated effective engineering and accountable quality assurance testing
in a highly regulated industry.
Amazon Web Services
Certified DeveloperMay 2017 - May 2019
Certification verification code 7CZK4WECKB14Q4SY
Biomathematics Innovations Group
Sep 2012 - May 2015
Projects: Statistical genomics, infectious disease epidemiology,
computer vision, and game theory.
Methodologies: Text-mining, pattern recognition, computer vision,
spatial statistics, agent-based modeling, deterministic modeling, graph
theory, and ordinary differential equation models.
Assisted over 20 student researchers in their ecological, statistical, and
epidemiological research projects. This includes advising in experimental
design, data collection and analysis, and training in the use of R and
Moderating a weekly journal club in which students present their research
progress for community collaboration.
University of Rochester Jun 2016 - Sep 2016
The Grossfield Laboratory, Department of Biochemistry
Project: Application of Markov State Models in the Statistical
Analysis of Molecular Dynamics Simulations.
Methodologies: Markov models and processes, eigenanalysis, stochastic
simulations, all-atom molecular dynamics simulations and massively-parallel
Outreach and Education
Python Buffalo Jun 2017 - Present
Active participant in growing and enabling the Buffalo Python community, and
presenter of multiple presentations.
Technical Reviewer Jun 2015 - Apr 2016
Reviewer for the books
Mastering RStudio: Develop, Communicate, and Collaborate with R by
Julian Hillebrand and Maximillian H. Nierhoff, and
Unsupervised Learning with R by Erik Rodriguez Pacheco.