Raghav Sharma

Experience

• 

  Rural Invest - India

  Mar 2018 - Sept 2021

  Co-Founder
• 

  Chintan (Environmental Research and Action Group)

  May 2018 - Jul 2018

  Intern
• 

  Society for Environmental Sustainability (SES)

  Sept 2018 - Jun 2021

  Founder and President
• 

  Dialogue and Development Commission Of Delhi

  Jun 2020 - Aug 2020

  Data Analysis Intern - COVID Task Force

  Analyzed spatial data to identify red-zones with respect to hospital bed availability from real -time calls received on COVID Emergency Helpline.

• 

  Delhi Technological University (Formerly DCE)

  Jul 2020 - Aug 2020

  Industrial Trainee

  Worked as an Industrial Trainee at the DTU Air Pollution and Acoustics Lab under Dr. R.K. Mishra.Conducted research on 'Urban air pollution reduction: evidence from phase-wise analysis of COVID-19pandemic lockdown'Collected, cleaned, and analyzed air pollutant concentration data (PM2.5, NO2, CO, O3) with respect to meteorological parameters for four metro cities of India - Delhi, Mumbai, Kolkata, Chennai for pre and post-lockdown periods.

• 

  Dialogue and Development Commission Of Delhi

  Oct 2020 - Jan 2021

  Intern - Pollution War Room

  1. Interned at the Stubble Management Group focussed on mitigating air pollution from in-situ burning of paddy stubble in Indo-Gangetic Plains by building a circular economy for paddy stubble. 2. Developed a cost and logistics model for procurement, transport, and utilization of paddy stubble. 3. Analysed feasibility of paddy-residue-based energy - Biogasification and Biomass Pellets.

• 

  Stanford Energy

  Jun 2022 - Jan 2023

  Summer Fellow - Sustainable Finance Initiative

  Summer Fellow at Stanford Sustainable Finance Initiative.

• 

  HighTide Intelligence

  Jun 2022 - Jan 2023

  Data Driven Modelling Intern

  - Used Delft3d Flow for benchmarking fast flood model results for storm surge inundation. Simulated inundation routines for 5m, 7m, and 10m storm surge events in Miami Dade County.- Leveraged QGIS for processing rasters, Delft3D attribute file generation, and Delft3D postprocessing.- Conducted error analysis on fast flood model and uncovered the potential of fast flood model by analyzing underprediction and overprediction zones.

• 

  Stanford University

  Jan 2023 - Aug 2023

  • Graduate Teaching Assistant - Big Earth Hackathon Wildland Fire Challenge

    Apr 2023 - Aug 2023

  • Graduate Teaching Assistant - Data Science for Geosciences

    Jan 2023 - Aug 2023
• 

  Berkshire Hathaway Specialty Insurance

  Aug 2023 - now

  Engineer

  - Engineer in the Catastrophe Engineering & Analytics group focusing on flood risk evaluation and catastrophe risk analytics development.- Undertaking flood risk evaluation using vendor models and internal tools, assisting with individual underwriting decisions, and performing risk accumulation analyses.- Building geospatial intelligence tools for automating and streamlining catastrophe risk modeling.