Teaching Fellow for Courses

  • The Physical Science of Climate Change, Yale University, Spring, 2021 (Graduate level)
  • Geospatial Software Design, Yale University, Fall, 2020 (Graduate level)
  • The Physical Science of Climate Change, Yale University, Spring, 2020 (Graduate level)
  • Geospatial Software Design, Yale University, Fall, 2019 (Graduate level)
  • The Physical Science of Climate Change, Yale University, Spring, 2019 (Graduate level)
  • Geospatial Software Design, Yale University, Fall, 2018 (Graduate level)
  • Observing Earth From Space, Yale University, Spring, 2018 (Graduate level)
  • Geospatial Software Design, Yale University, Fall, 2017 (Graduate level)
  • Atmospheric Physics and Chemistry, Indian Institute of Technology, Kanpur, Spring, 2015 (Graduate level)
  • Advanced Mathematics for Civil Engineers, Indian Institute of Technology, Kanpur, Fall, 2014 (Graduate level)
  • Water Supply and Wastewater Engineering, Indian Institute of Technology, Kanpur, Spring, 2014 (Undergraduate level)

    Instructor for Workshops

  • Earth observations for mapping urban heat islands and urban heat exposure, training led for 42nd session of United Nations - Space
  • Simple Artifical Networks for supervised and unsupervised problems, Machine Learning Bootcamp, Pacific Northwest National Laboratory, 14 Oct, 2022 (co-instructor)
  • ML 101: Clustering and tree-based algorithms, Machine Learning Bootcamp, Pacific Northwest National Laboratory, 10 Oct, 2022 (co-instructor)
  • Overview of Unsupervised Learning, Machine Learning in Python for Environmental Science Problems: Advanced Topics in Machine Learning, American Meterological Society Fall Meeting 2022, 13 Jan, 2022
  • Cloud-Based Geospatial Analysis using Google Earth Engine, Marx Science & Social Science Library, 13 May, 2021
  • Creating Data Dashboards using ArcGIS Online, Marx Science & Social Science Library, 20 Apr, 2021
  • Overview of Unsupervised Learning, Machine Learning in Python for Environmental Science Problems: Advanced Topics in Machine Learning, American Meterological Society Fall Meeting 2021, 9 Apr, 2021
  • Creating Data Dashboards using ArcGIS Online, Marx Science & Social Science Library, 26 Oct, 2020
  • Cloud-Based Geospatial Analysis using Google Earth Engine, Marx Science & Social Science Library, 12 Oct, 2020
  • Introduction to GIS: QGIS, Marx Science & Social Science Library, 22 Sep, 2020
  • Introduction to ESRI notebook, Marx Science & Social Science Library, 22 Jul, 2020
  • Cloud-Based Geospatial Analysis using Google Earth Engine, Marx Science & Social Science Library, 8 Mar, 2020
  • Introduction to QGIS, Marx Science & Social Science Library, 3 Mar, 2020
  • Intro to Remote Sensing with Google Earth Engine, Yale Center for Earth Observation, Yale University, 28 Feb, 2020 (co-instructor)
  • Intro to GIS: ArcGIS Pro, Marx Science & Social Science Library, 14 Feb, 2020 (co-instructor)
  • Using Google Earth Engine for Global Scale Geospatial Analysis, Yale GIS Day 2019, 14 Nov, 2019
  • Urban MODS 2019 GIS Workshop 3, Yale University, 21 Aug, 2019 (co-instructor)
  • Urban MODS 2019 GIS Workshop 2, Yale University, 14 Aug, 2019 (co-instructor)
  • Urban MODS 2019 GIS Workshop 1, Yale University, 7 Aug, 2019
  • An Introduction to Geospatial Analysis Using the Google Earth Engine Platform, Yale GIS Day 2018, 13 Nov, 2018 (co-instructor)
  • Geospatial Software Analysis - An Introduction to Google Earth Engine, Yale-NUS Data 2.0, 16 March, 2018

    Guest Lectures for Courses

  • An Introduction to Remote Sensing of Urban Environment, Observing Earth From Space, Yale University, 2023 (Graduate level)
  • Introduction to Google Earth Engine for Satellite Remote Sensing, Observing Earth From Space, Yale University, 2019, 2020, 2021, 2022 & 2023 (Graduate level)
  • Examining urban heat and aerosol-biosphere interactions across terrestrial climate zones, Natural Science Research Methods, Yale University, 2021 (Graduate level)
  • Disparities in surface urban heat islands in cities, Urban MODs, Yale University, 2021 (Graduate level)
  • Introduction to StoryMaps, Science & Quantitative Reasoning, Yale University, 2021 (Undergraduate level)
  • Processing and visualizing shapefiles, Science & Quantitative Reasoning, Yale University, 2021 (Undergraduate level)
  • Urban Heat Islands: Mechanisms, Monitoring, and Modelling, Modelling air quality and hydro-meteorological extremes over Indian mega cities, AICTE QIP Short Term Training Programme, Indian Institute of Technology, Madras, 2021 (Faculty Training)
  • Introduction to ArcGIS Online, Urban Landscapes and Geographies of Justice, Yale University, 2021 (Graduate level)
  • Visualizing geospatial data, Data and Information Visualization, Yale University, 2020 (Graduate level)