David Melecio-Vazquez, Ph.D.
Geospatial Data Scientist at First Street Foundation- Claim this Profile
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Bio
Experience
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First Street Foundation
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United States
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Climate Data and Analytics
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1 - 100 Employee
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Geospatial Data Scientist
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Jan 2022 - Present
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The City College of New York
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United States
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Higher Education
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700 & Above Employee
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NOAA EPP Doctoral Fellow
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Aug 2013 - Sep 2021
Research on high resolution numerical weather prediction for dense cities. Focused on evaluating and improving boundary-layer parameterizations. Performed data analysis on different observation platforms to gain insight on WRF model performance including satellite systems (Landsat, JPSS, GOES-R), ground-based systems (ceilometer, microwave radiometer, surface weather stations) and aircraft-based measurements (ACARS) of meteorological variables. Research on high resolution numerical weather prediction for dense cities. Focused on evaluating and improving boundary-layer parameterizations. Performed data analysis on different observation platforms to gain insight on WRF model performance including satellite systems (Landsat, JPSS, GOES-R), ground-based systems (ceilometer, microwave radiometer, surface weather stations) and aircraft-based measurements (ACARS) of meteorological variables.
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Insight Data Science
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United States
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Higher Education
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1 - 100 Employee
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Insight Data Science Fellow
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Sep 2020 - Oct 2020
Consulting project for COVID Alliance to build a tool that would assign point-of-interest information to clusters of cell-phone ping data by using OpenStreetMap and Yelp to help quantify the most likely business a person may occupy. Cell-phone ping data was hosted on Snowflake (SQL) databases and Python (Pandas, GeoPandas, Folium) was used to contextualize the ping data with business information (Yelp API) and corresponding building footprints (OpenStreetMap). Consulting project for COVID Alliance to build a tool that would assign point-of-interest information to clusters of cell-phone ping data by using OpenStreetMap and Yelp to help quantify the most likely business a person may occupy. Cell-phone ping data was hosted on Snowflake (SQL) databases and Python (Pandas, GeoPandas, Folium) was used to contextualize the ping data with business information (Yelp API) and corresponding building footprints (OpenStreetMap).
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NOAA: National Oceanic & Atmospheric Administration
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Government Administration
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700 & Above Employee
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NOAA Experiential Research and Training Opportunity; Doctoral Fellow
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Mar 2019 - Jul 2019
Successfully led a cross-functional collaboration to integrate software within the Weather Research and Forecasting (WRF) model for use in operational weather forecasting using high-performance computing. Conducted exploratory data analysis for model vs observation evaluation of weather model performance. Experience with full-stack web development using Meteor for an online model vs observations system. - Tested the performance of the urban physics module with NOAA's operational framework against observations of winds and temperatures over New York City (high performance computing, urban weather forecasting). -Experience with a physically-based retrieval method for Microwave radiometer measurements -Experience with Meteor framework for building a verification system for boundary-layer observations against WRF simulations. Show less
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The CIty College New York
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New York, NY
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High School Initiative in Remote Sensing (HIRES)- Mentor
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Jul 2017 - Aug 2017
I mentored a high school student during the summer to complete a small research project. I mentored him through explaining the science and the methods of analysis behind the project. I mentored a high school student during the summer to complete a small research project. I mentored him through explaining the science and the methods of analysis behind the project.
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Brookhaven National Laboratory
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United States
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Research Services
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700 & Above Employee
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Graduate Research Internship Program
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Sep 2016 - Dec 2016
Research on contrasts between rural and urban atmospheric boundary layers using microwave radiometers. Research on contrasts between rural and urban atmospheric boundary layers using microwave radiometers.
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I. M. Systems Group Inc. (IMSG)
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United States
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Environmental Services
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1 - 100 Employee
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Students Professional and Academic Readiness with Knowledge in Satellites (SPARKS) Intern
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Jun 2016 - Aug 2016
Training in programming languages used operationally at NOAA: Fortran 90, C++, and Perl. Applied programming skills to visualize validation statistics for the NOAA Unique Combined Atmospheric Profiling System. Poster Presentation at the JPSS Annual Science Meeting, Aug. 2016. Training in programming languages used operationally at NOAA: Fortran 90, C++, and Perl. Applied programming skills to visualize validation statistics for the NOAA Unique Combined Atmospheric Profiling System. Poster Presentation at the JPSS Annual Science Meeting, Aug. 2016.
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Rensselaer Polytechnic Institute
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United States
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Higher Education
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700 & Above Employee
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Undergraduate Research
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Oct 2011 - Dec 2011
I participated on current work to develop a liquid-lens/liquid-piston system with pinned contact lines. I was able to learn the basics of the surface tension phenomena that is behind the design of the system. My tasks dealt with organizing the CAD model of the prototype to be ready for the next stage of development. I participated on current work to develop a liquid-lens/liquid-piston system with pinned contact lines. I was able to learn the basics of the surface tension phenomena that is behind the design of the system. My tasks dealt with organizing the CAD model of the prototype to be ready for the next stage of development.
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Group Leader
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Jul 2008 - Jul 2008
Led a group of thirty children ranging in ages from ten to twelve as they took workshops in Photojournalism. Led a group of thirty children ranging in ages from ten to twelve as they took workshops in Photojournalism.
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Education
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City University of New York City College
Doctor of Philosophy (Ph.D.), Mechanical Engineering -
Rensselaer Polytechnic Institute
Bachelor of Science, Aerospace & Mechanical Engineering