-Developed an ETL pipeline with Python to standardize diverse municipal permit data, enabling cross-jurisdictional analysis and enabling a dynamic process for creating schematic consistency where none existed-Engineered and deployed a production-grade ETL pipeline for extracting and structuring unstructured data from local government meeting minutes, enabling modeling on standardized data to provide extremely detailed insights about hyper-local government practices and community sentiments- Worked to scale robust data infrastructure using AWS services (S3 for data lake, RDS for relational database), providing efficient data storage of complex government data at scale-Developed an advanced algorithm to geospatially reconstruct comprehensive climate data for specific parcel locations using fragmentary weather records and other environmental records, providing a critical component in the automated environmental impact report product offering for infrastructure and land developers-Actively participated in startup growth initiatives, including MIT Media Lab pitch events, representation at the Open Data Science Conference, and other venues to further the company and develop product-market fit-Participated in the C10 Labs AI Startup Accelerator summer cohort, contributing to business development strategies and gaining deep insights into the pain points experienced by our target customer base (land use developers, consultants, architects) in navigating complex regulatory environments

Automated markdown reports for environmental science projects using R and Python, significantly increasing report generation efficiency• Automated standard statistical tests on ordinal and numeric data, allowing stakeholders to phase out costly licensed software and aiding transition to open-source; provided in-house training in R• Developed association rule mining (unsupervised learning) tools for unstructured survey response analyses • Used R and Python for data analysis, visualization (Plotly), and statistical modeling

Full time research intern on the Mercatus Trade and Immigration Policy team.In this position, I worked closely with scholars to produce a sizable volume of background analysis and research. I collaborated on rigorous economic research, performed data preparation, analysis and visualization.

I held numerous different positions in the service sector, during which my work weeks exceeded 60 hours. These experiences exposed me to diverse sectors of a market economy, as I dealt with clients, business partners and customers from all walks of life. These positions included:-Transportation and logistical service; delivering bread and baked goods to supermarkets 5 a.m., followed by delivering miscellaneous industrial products (B2B) and medications (to nursing and retirement homes) throughout the day.-Food service (waiting tables, bartending at night, barista)Through these varied positions I have honed my adaptability, problem solving abilities, and interpersonal skills that are important in any professional setting.