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g-vansh/README.md
  • ๐Ÿ‘‹ Hi, Iโ€™m @g-vansh
  • ๐Ÿ‘€ Iโ€™m interested in researching innovation, development, strategy, education, and urban economics
  • ๐ŸŒฑ I'm currently learning machine learning methods for causal inference
  • ๐Ÿ“ซ I can be reached at vg224[at]cornell.edu

My name is Vansh. I graduated from the Dyson School of Applied Economics & Management at Cornell University. Additionally, passionate about statistics, machine learning, and causal inference, I pursued a double major in Biometry & Statistics at Cornell's Bowers College of Computing & Information Science, with Research Honors in the Social Sciences. Across my two majors, I concentrated in Computational Statistics & Data Management, Mathematical Statistics, and Analytics. At Cornell, I served as the Vice-President of Cornell Business Analytics and conducted research with Daniela Scur and Jorge Guzman, amongst others.

I am interested in applying my knowledge of strategy, econometrics, and computer science to study the interplay of firm resources in non-profit and developmental contexts. My current works-in-progress include research projects that study the effectiveness of the GitHub Sponsors Program to improve innovation, and another which studies the effectiveness of Brazilian municipal governments in mitigating the effects of regular flooding disasters. I have research experience in development, innovation, education, healthcare, industrial organization, strategy, and urban economics. Please go to the research section to learn more about some of my research projects!

I have been researching the competitive effects of healthcare mergers in the US for the past 1.5 years. This involved a lot of experience in industrial economics, urban economics, and healthcare economics. I frequently correspond with the U.S. Department of Justice and legal scholars to discuss the efficacy of legal frameworks that govern antitrust enforecement policies in the US for the healthcare industry.

I like to apply what I have learned in classroom to solve real-world problems. I led pro-bono data-driven consulting projects in India and the USA, and was recognized as one of the top 10 leaders in business consulting in India by the CEO Insights magazine in June 2022.

Teaching is another excellent way of learning for me and I have greatly enjoyed and benefited from being an undergraduate teaching assistant for various CS courses at Cornell.

Outside of academia, I am passionate about exploring cities & transit systems, and learning to bike hands-free.

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  1. STE STE Public

    R package to calculate the Strategic Treatment Effects

    R 2

  2. StormR StormR Public

    R Package to Analyze Storm Data

    R 1

  3. thesis-brazil-schools-analysis thesis-brazil-schools-analysis Public

    Replication for my Thesis - Approaches and Resources for Improved Student Outcomes: Evidence from Brazil

    TeX

  4. aearep-1571_code aearep-1571_code Public

    Python Uploading Code for AEAREP-1571

    Python 1 2