Olga Kavvada

PhD from the University of California, Berkeley

CV Linkedin Github

   About me Projects Publications Contact

Developed Software Tools


Selected Projects

Unerstanding of the effect of spatial parameters and scale for water reuse in San Francisco. This work utilizes a life-cycle assessment methodology as a framework for assessing the energy use and greenhouse gas emissions of residential water reuse combined with advanced spatial modeling to identify the effect of spatial parameters and scale on the system performance.

Unerstanding the spatial variability of water consumption in a city is an important parameter for implementing water efficiency measures. This work tries to generate a modeling process of predicting water consumption in a building - level scale for Austin, Texas.

Assessing the environmental and economic requirements of decentralized nitrogen management from source separated urine in San Francisco.

First attempt to make my own web map using business data for San Francisco. Working with datasets and Leaflet to create an interactive web map.

Geopandas is a powerful library that allows spatial analysis in Python! This work utilizes what Geopandas has to offer to discover building distribution in the city of Austin, population allocation and proximity to parks.

Twitting about the California drought? Connecting to the Twitter API to see the distribution of tweets in California through time. Getting real time data from API's and using CartoDB to visualize a timelapse of the results.

Visualizing San Francisco's topography and demographics. Working with API's and open data to visualize basic spatial information of San Francisco.

Last summer I interned as a data engineer at Mapzen. I mostly worked in backend data generation and databases. Visit my blog post for more information on some of my work while I was there.

Read on how we collected basic information on building outlines using commonly available LIDAR data. The generality of the method allows for compiling high resolution building footprints were the information is not readily available.

Applying spatial analysis and optimization to solve real world engineering problems such as managing the end-of-life of electric vehicle batteries.