Leading and supporting data science initiatives spanning Product, Go-to-Market, Engineering, and Leadership teams.

Built analytics team to support go-to-market teams, refine CS org's tech touch strategy, and lead all growth analytics efforts for Enterprise.- Recruited, onboarded, and managed two analysts to support ongoing product and go-to-market analytics workstreams.- Performed and oversaw analyses that identified opportunities to optimize existing book of business by at least 10%.- Developed metrics used companywide to opportunity-size growth potential within Enterprise use-based monetization model, as well as metrics to determine early signs of long-term account retention.- Led implementation of Pendo, including installation, internal training and enablement, and ongoing management.- Likely the top user of the "salute" emoji on Slack.

Drove analysis and implementation of forwarding limits in Facebook Messenger, significantly reducing the spread of sharing-based harms.

Teaching part-time online classes in data science and data analytics to students worldwide. Data science coursework covers foundational machine learning concepts and applications within the python environment, including classification and regression modeling, natural language processing, clustering, and time series. Data analytics coursework covers applications in Excel, SQL, and Tableau, focusing on improving students' fluency in data ecosystems.

Responsible for product analytics for Vimeo’s Core SaaS and Live product teams, including weekly product health reports, KPI development, data definition specification, and ad hoc analyses.Facilitate a self-serve data environment through advocating for scalable data strategies and building data pipelines to centralize key BI data sources.Perform clustering, segmentation, retention, and other analyses on user behavior to inform Leadership,Product, and Marketing strategies for product health and growth.

Providing reporting and ad-hoc analyses in SQL and python to provide product-focused insights to drive the development of creator tools.

Supporting course instructor in General Assembly's data science immersive program. Responsible for training students in data science methods and applications, including: python, SQL, pandas, numPy, scikit learn, matplotlib, seaborn, data mining, regression and classification techniques, model building, forecasting, and NLP.

General Assembly's Data Science Immersive is a 12-week long bootcamp in which fellows are trained to analyze, make sense of, convey data-driven facts from massive datasets, and predict what happens next through predictive modeling and pattern recognition.Skills:Python 2.7SQLTableauGit/GithubData MiningMachine Learning

Conducted and managed data collection and statistical analysis for study assessing impacts to transportation system in Columbia, South Carolina, following major October 2015 flooding.Developed vulnerability assessment tool using Alteryx to process asset data and climate data to calculate potential climate vulnerability of national wildlife refuge assets for the U.S. Department of Interior.Created Excel-based climate data processing tool for the Federal Highway Administration, now publicly available and widely used by state departments of transportation and metropolitan planning organizations.Developed, implemented, and analyzed survey of airports regarding extreme weather impacts to operations. Used findings to develop multi-module Excel-based decision-support tool for North American airports, including a module that collects and stores financial expense data.Created framework for the General Services Administration for federal government agencies to assess and manage impacts of climate change on supply chains.

Updated and maintained a blog for RelevanSí, a small, eco-friendly start-up web design and communications company based out of Buenos Aires. Additional responsibilities included writing and editing content for a new website, assisting in communications with clients, and providing creative feedback for ongoing projects.

Worked in a Neurological and Behavioral Science laboratory that studied blood pressure regulation. Daily activities included maintaining an inventory of lab supplies, building equipment, analyzing data, and assisting with experiments.

Taught drumming lessons at Green Street Arts Center, a Wesleyan University-affiliated afterschool program for at-risk children; Catered to each student's ability and taste in musicCovered basic beats on drum set in hip hop, funk, and rockDiscussed and practiced essential topics such as rudiments, time signatures, and dynamics

Used a research telescope to collect data for Wesleyan University's Astronomy Department.