Master of Urban Spatial Analytics, 2022 University of Pennsylvania (Philadelphia, PA)
B.S. Environmental Studies, 2016 Suffolk University (Boston, MA)
Great at figuring out and fixing tricky data problems through critical thinking
Careful with details in both word-based and number-based analysis
Proficient in Python, R, SQL, GIS
Experience with cloud computing and building data pipelines (ETL)
Solid foundation in statistical methods
Experience with data wrangling, cleaning, feature engineering for predictive models
Experienced in managing multiple projects and working collaboratively with cross-functional teams
Skilled at making complicated data insights easy to understand, with 5 years of experience
5+ yrs experience with Adobe Illustrator and Indesign
Master of Urban Spatial Analytics | University of Pennsylvania 2022
Philadelphia, PA
Relevant Courses & Course Work:
Geospatial Cloud Computing & Visualization (MUSA 509)
- Used Python and SQL to automate extracting, transforming, and loading data into a data warehouse
- Used SQL and PostGIS for exploring datasets
- Scripted with queries, interacting with web services/APIs programmatically in Python and SQL
- Built dashboard to answer operational questions using visualizations of dynamic data
Guilford EMS: A Spatial Fire Risk Model (Practicum, MUSA 801)
- Working for the county EMS office, I built a geospatial risk model to predict structure fires in Guilford County, North Carolina
- Employed modeling techniques using tidymodels in R
- Wrangled and applied statistical anaylsis across several real world data sets
Predicting Customer Churn in a Public Policy Context in R (Public Policy Analytics, MUSA 508)
- Machine learning, data wrangling, data visualization in R
- Employed statistical methods including logistic regression, modeling the very common question of churn
Predicting Robots on Reddit with Natural Language Processing in Python (Geospatial Data Science, MUSA 550)
- Data visualization, data wrangling with APIs, machine learning in Python
- Employed topic and sentiment analysis techniques as well as logistic regression in Python's SciKit Learn
Deep Learning: EuroSAT Land Use Classification (Remote Sensing, MUSA 650)
- Machine Learning and Deep Learning with neural networks for image classification, wrangling with numpy in Python
- Employed a series of neural networks to classify land use from the benchmark dataset EuroSAT
B.S. Environmental Studies | Suffolk University 2016
Boston, MA
Relevant Courses & Course Work:
Environmental Studies Capstone
- Comparative study of public policy for climate change and environmental management
Environmental Science and Statistics for Research
- Basic statistical tests e.g., t-test, ANOVA
Field Ecology
- Data collection and maintenance, applied statistics
Data Analyst II | Remote Data Analyst I October 2022 — Present ; Data Analyst II January 2024 — Present
Truveris
Accomplishments
Identified a critical improvement that now accounts for 1 of 3 core pillars of our ETL processes. Implemented and tested this enhancement in collaboration with both technical and business partners.
Increase team capacity through mentorship of 10 analysts, including training on proprietary data platforms
Partner with business and technical collaborators to monitor, analyze and regularly implement product enhancements, making our product 30% more robust
Present actionable insights to non-technical clients
Drive team efficiency through creating and maintaining a library of SQL queries, Excel Macros, and Alteryx Workflows used daily by 20+ analysts
Inform business strategies for clients representing over $9 million of company revenue by defining KPIs and identifying trends and anomalies
Maintain strong relationship with 4 of the top 20 clients by producing ad-hoc analyses to support internal and external requests for data modeling utilizing SQL, Excel, Python, and BI tools
Maintain documentation and SOPs to ensure consistency and understanding of workflows for a team of 20+
Geospatial Data Scientist | Philadelphia January 2022 — June 2022
Practicum with Guiflord County, NC Emergency Services Department
Accomplishments
Leveraged critical thinking to investigate and triage data, people, and objective challenges to propose use case relevant solutions
Developed predictive models in R to solve for operational challenges critical to one of the most valued public services - fire fighting
Constructed robust ETLs to automate analysis and visualization in a javascript based dashboard, equipping the department with a hands on tool for operational decision making
Evaluated model performance using 3 statistical methods to identify opportunities for improvement
Collaborated with 3 domain experts to ensure model outputs were relevant and effective
Documented the process in detail and maintained a code base to enable other public entities to reproduce our results and develop their own tools
PowerApps Developer | Philadelphia March 2022 — June 2022
First Step Staffing (Nonprofit, Pro bono work)
Accomplishments
Designed application for data management and visualization using Microsoft PowerApps, Excel, Forms
Communicated effectively to identify client needs and solutions
Interpretation Park Guide, National Park Service | New Orleans 2019 — 2021
Jean Lafitte National Historical Park & Preserve
Awards
Received a Performance Based Award for taking the initiative to ensure goals were met despite staffturnover and for my spirit of collaboration and effective communication skills
Received an “On the Spot” Award for effective and proactive work as Safety Officer on the park's Severe Weather Incident Command Team
Accomplishments
Distilled complex, historical content into engaging narratives
Collaborated with academic and community speakers,forging new and maintaining long standing relationships
Served as Web Lead, maintaining and updating our website for safety and interpretative messages
Facilitated the publication of our Fun From Home series on our website,
made up of 14 webpages
Collaboratively wrote, shot, edited an interpretive video on the landmark case of Plessy V. Ferguson
Brought Section 508 of ADA compliancy issues regarding PDFs to the attention of supervisors and worked to implement a method to address them.
Gave upwards of 80 ranger talks on cultural, labor, political, and environmental history of New Orleans, and
published an online exhibit.
Science Communication and Outreach Coordinator | New Orleans 2017 — 2019
Pontchartrain Conservancy (AmeriCorps)
Accomplishments
Maintained outreach budget, goals, and reportable engagement statistics for grant deliverables, quarterly internal reporting,
and an annual outward facing report
Developed and edited website content (WordPress), general outreach material (Adobe Suite), and science factsheets while working
cooperatively with staff scientists to ensure reliable and factual copy and graphics
Launched a social media calendar and a strategy to capture virtual engagement to optimize platform reach and track it for grant deliverables
Designed, edited, and published monthly newsletter and occasional blog to strengthen public understanding of our estuary and the organization's work.
Example blog posts: (1) Gone Ghost Fishin',
(2)Picky Oysters,
(3) Aerial Seeding: Falling with Style and Intention
Modernized volunteer management strategy by identifying and implementing a new management software making volunteer impact easier to track and report on
Collected environmental data in the field and managed data files to ensure accuracy