Resume

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General Information

Full Name Trevor Kapuvari
Location Massapequa Park, NY
Email kapuvarit@gmail.com

Education

  • 2024
    M.S. in Urban Spatial Analytics
    University of Pennsylvania, Weitzman School of Design
    • GPA: 3.83 / 4.00
    • Relevant coursework: Remote Sensing, Cloud Computing, Data Mining & Statistics, Public Policy Analytics, Python
  • 2023
    B.A. in Environmental Design, Policy, and Planning
    Stony Brook University
    • GPA: 3.89 / 4.00
    • Minor: Geospatial Sciences

Experience

  • Nov 2025 - Present
    Data Scientist
    National Grid, Melville, NY
    • Spearheaded development of a spatial risk classification model, incorporating 30 variables into a bi-annual infrastructure assessment.
    • Optimized data architectures by consolidating 3 siloed databases into a unified system, improving data accessibility, integration, and use.
    • Adapted GIS tools, scripts, and workflows based on ad-hoc needs for 4 engineering teams, improving operational scalability.
  • Jun 2025 - Nov 2025
    Spatial Data Scientist
    Con Edison, Brooklyn, NY
    • Led an AI initiative to integrate large language models into GIS for automated data quality review, decreasing manual output by 30%.
    • Coordinated with 3 stakeholder teams to develop technical infrastructure, secure approval, and source high-quality training data.
    • Designed and executed a full machine learning pipeline, including data preparation, feature engineering, and model evaluation.
  • May 2024 - Jun 2025
    Geographic Information System Specialist
    Con Edison, Brooklyn, NY
    • Supported design, implementation, and integration of 6 electric information systems into enterprise geospatial technology.
    • Implemented data validation protocols and quality control measures for data integrity during migration processes.
    • Led efforts to modify and adapt GIS tools to meet organizational needs in energy resource management, mapping, and data analysis.
  • May 2023 - May 2024
    Data Analyst
    U.S. Department of the Interior - Geological Survey, Coram, NY
    • Transformed raw data into comprehensive reports detailing water quality metrics, incorporated into environmental impact statements.
    • Implemented efficient data processing workflows using Model Builder and ArcPy, leading to a 15% increase in overall efficiency.
    • Analyzed groundwater and surface water data to create interactive visualizations, highlighting geological and hydrological trends.
  • Jun 2022 - Aug 2022
    Transportation Planning Intern
    Suffolk County Department of Economic Development, Hauppauge, NY
    • Researched and compiled data on micromobility legal codes, presenting findings to state-wide committees on traffic safety.
    • Assisted in designing downtown corridors by analyzing usage data and collaborating with planning staff to create shared pathways.

Skills & Software

  • Programming Languages
    • Python (Scikit-learn, Keras, TensorFlow, pandas, geopandas, NumPy)
    • R (tidyverse)
    • SQL, HTML, CSS
  • Software
    • ArcGIS Pro / Online, CARTO, CPLEX, Google Earth Engine
    • ChatGPT, Jupyter, Microsoft Office Suite
    • Power BI, Tableau
  • Database Management
    • PostgreSQL, pgAdmin
    • Google Cloud Platform (BigQuery, Cloud Functions, Cloud Workflows)
  • Cloud & DevOps Tools
    • Git, GitHub
    • Docker, Kubernetes, MLflow
  • Analytical Methods
    • A/B Testing & Hypothesis Testing
    • LLM / GenAI Integration
    • Statistical Modeling & Probability

Project Experience

  • Jan 2024 - May 2024
    Data-Driven Interdiction of Marine Plastic Pollution
    Ocean Conservancy
    • Developed a customized machine learning algorithm to analyze data for 12 clients, leading to identification of optimal site locations.
    • Implemented predictive modelling approaches to determine resource allocation and capital distribution for conservation efforts.
    • Provided data-driven recommendations to stakeholders, utilizing visualization techniques to present findings and solutions.
  • Nov 2023 - Feb 2024
    Identifying Neighborhood Amenities via Web Scraping and APIs
    Wharton-Weitzman Future of Cities Conference 2024
    • Conducted classification analysis to develop contemporary amenity profiles of cities to aid urban planning research.
    • Web-scraped Zillow & Yelp for real estate descriptions and community feedback using Python Selenium & Beautiful Soup.

Honors and Awards

  • Eagle Scout, Project on Nature Preserve Mapping
  • Phi Beta Kappa Honor Society