Michelle Mueller Gámez

Climate and sustainability analyst and strategist with expertise in infrastructure, the built environment, and nature-based solutions. Driving impact in New York City by leading sustainability initiatives and impact reporting through data-driven analysis, stakeholder engagement, and storytelling with data visualization. Committed to fostering thriving environments for people and nature by aligning climate efforts with business objectives for long-term success.

Master in Urban Planning, Environmental Policy, and Planning from the Massachusetts Institute of Technology. Certified TRUE Advisor and facilitator through Global Learning Partners. Pursuing GRI certification. Skilled in ArcGIS, Python, and R.

Data

Greenhouse Gas Inventory

I built a greenhouse gas inventory for Central Park Conservancy in 2024. I collected data from across agencies and departments, identified appropriate emissions factors, and used Posit Cloud to write an R script to atuomatically populate a table. 

Writing

Salt Flats, Finger Islands, & Ponds: Reading the Landscape through Infrastructure in Tampa, Florida

Data

Maps - Risk & Development in East Boston

I supported a community in east boston understand how climate change, development and infrastructure present risk to the neighborhood. 

Lifestyle  

Drawing and Watercolors -  Learning from Nature

I sometimes draw and make watercolors from the natural world as a practice of honoring the life that I share land and water with.

Lifestyle  

Slow Fashion 

In 2024, I began a knitting and sewing practice to learn more about the materials that go into our clothing and the labor required to make it. I’m on a journey to build a sustainable me-made wardrobe.

Data

Mapping: Utility Rates and Impact on Housing / We Buy Ugly Homes

We Buy Ugly Houses submits FOIA request to utilites across the country to collect data on which homes have had their water shutoff across the county. This lets them locate properties that are vacant, abandonded or where residents have their utilities shut off.  As a part of the MIT Enhancing Water Affordability Project I mapped the data requested by We Buy Ugly Houses in Kansas City Kansas to understand which neighborhoods are most impacted by rising utility rates and payment policies. I built this interaactive map by writing an R script.