Student | Software Developer | Blockchain | Solana
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Indian Institute of Technology
Data Scientist
June 20, 2026 – Present
mlh-hackathon
February 3, 2022 – February 4, 2022
We wanted to allow our MLH Fellowship podmates to mint a commemorative NFT to remember the fellowship we cultivated during our 1on1s. We may even airdrop some prizes to the people who hold these NFTs.
View Projectbosch-inter-iit
March 10, 2021 – July 13, 2021
Vehicle automation use-case to help vehicles better identify traffic signs. Features include data-set creation UI to allow users to add a series of augmentations to uploaded images and add to the dataset, post evaluation UI to allow users to get insights about model failure by providing metrics, top 5 confidence class, wrongly predicted images, class wise curves, confusion matrix, heatmaps etc.
View Projectcovid-vaccine-distribution
January 1, 2021 – August 7, 2021
Code Repository for Covid Vaccine Distribution system
View Projectamazon-clone
December 1, 2020 – July 11, 2021
An e-commerce website developed using ReactJs , GraphQL, TypesScript. Created by scraping and cleaning data of about 3000 Amazon Products. Users can register and login, then add items to cart and checkout their cart. Supports checkout and online payment through Stripe.
View Projectamazon-clone-auth-server
November 23, 2020 – November 29, 2021
Graphql auth server for amazon-clone
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and diverse, ranging from NFT-related development to vehicle automation and e-commerce. This indicates a proactive and curious individual. However, the 'experienceLevel' is 0, and the only listed experience is a current 'Data Scientist' role starting in 2026, which is in the future. This discrepancy makes it difficult to assess current cultural fit based on professional experience. The project diversity suggests an ability to adapt and learn new technologies, which is a positive for cultural fit in dynamic environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.