I'm a Data Science Master's student at Harvard with 3+ years of experience in geospatial analytics and machine learning. I specialize in mapping tools and data visualization, helping organizations turn complex datasets into actionable insights.
Previously, I was an Analyst at Caliper, where I partnered with Fortune 500 clients to integrate mapping software into business workflows, tailoring our tools to each organization's needs.
I'm passionate about applying data-driven platforms - from GIS systems to machine learning models - to solve impactful, real-world challenges.
Built an interactive visualization tool combining wearable signals with user context to reveal stress patterns and guide better interventions.
Check out the repository for more details on the data visualization platform.
Python
Developed a neural network model (Contextual History-based Evaluation of Space Trajectories for Entity Recognition or CHESTER) to classify space objects by orbital patterns, integrating temporal data pipelines for improved accuracy.
Check out the repository for more information on the model!
Python
Modeled how climate change influences hurricane intensity using CMIP6 data, creating a Python library for simulation and analysis.
Check out the repository for more details and installation instructions!
Python
Integrated voter and Census data with ML models and interactive maps to uncover demographic drivers of turnout disparities.
Check out the interactive tool to dive deeper into the data!
Python
D3.js
Used Maptitude to explore earthquake patterns, uncovering links between seismic activity and wastewater injection sites in Oklahoma.
Check out the blog post to explore further insights!
Maptitude
Processed and streamlined regulatory datasets (CRA, HMDA, LAR) into analysis-ready geospatial layers for compliance and risk monitoring.
Check out the product description to get the full details!
Python
Maptitude
Analyzed store overlaps and demographics to assess merger impacts, with results published in a blog recognized by the Financial Times.
Check out the blog post to get the full story!
Maptitude
Conducted an econometric study using 21 years of panel data (IFLS) to estimate the long-term impact of parental migration on child income.
Check out the full paper to review the complete findings!