I am a second year graduate student at University Of Illinois Urbana-Champaign focussing broadly on problems in Operations Research. I am currently working on fair division in Algorthmic Game Theory, advised by prof Rakesh Nagi and Prof Jugal Garg.

Apart from Operations Research and Algorithm Development, I am interested in Quantitative Finance and markets.

I have research experience in Data Mining, Computer Vision/Image Processing and Machine/Deep Learning. During my undergard, I did some Web Development in NodeJS/React as well.

Work Experience

• Jan 2022- Present

  • Graduate Research Assistant, UIUC
    • Advised by: Prof Rakesh Nagi, Prof Jugal Garg
    • Description: Worked on designing a game-theoretic algorithm for computing fair (EF1) and pareto efficient (fPO) allocation of negative utility resources (chores) to agents with different preferences.
    • Code: https://github.com/vansjyo/Fair-Division
  • Graduate Teaching Assistant, UIUC
    • Current - IE310 - Deterministic Models in Optimization
    • Past - SE101, BIOE360

• May 2022 - August 2022

  • Project Assistant, O’Neil Risk Consulting & Algorithmic Auditing
    • Advised by: Cathy O’Neil, Jacob Appel
    • Description: Examined if the introduction of differential privacy for US 2022 consensus data had any significant impact on the accuracy of their internal algorithmic auditing software

• July 2020 - August 2021

  • Data Analyst, Lowe’s India
    • Team - Supply Chain Analytics, Data Analytics & Computational Intelligence (DACI)
    • Description: Built prediction models and handled end-to-end from data extraction to data visualization, including designing metrics, of reports suporting business decisions for inventory and supply pipeline health. As side project, created a cool root-cause insight tool for indicating problematic points.

• May 2019 - Dec 2019

  • Data Scientist, IIT Mandi
    • Advised by: Dr. Junrack Kim, Dr Sharad Kumar Gupta
    • Built a computer vision based deep learning model for semantically segmenting pixels that represented clutters (material changes) on the subsurface of planet Mars.

• December 2018- Jan 2019

  • Software Development Intern, Carabiner Technologies Pvt Ltd.
  • Developed image editing frontend tools for their product and batch image processing backend handling

• May 2018 - July 2018

  • Machine Learning Intern, Indian Academy of Sciences
    • Advised by: Dr Sharad Kumar Gupta, Dr. Dericks P. Shukla
    • Did some research on reducing the dimension