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Indian Institute of Technology
Data Scientist
June 16, 2026 – Present
bullseye
April 14, 2023 – June 13, 2024
BullsEye: A Scalable cache miss calculator for affine programs
View ProjectKaggle-Competitions
December 9, 2021 – December 11, 2021
This repo contains solutions to basic classification and regression-based Kaggle competitions. The projects were done in early stages, organized now into a single repository.
View ProjectMethod-Name-Preprocessor
December 9, 2021 – December 11, 2021
This repo contains trie-based implementation for preprocessing the incomplete/abbreviated method names to replace the originals with more meaningful ones.
View ProjectScratchML
November 24, 2021 – November 24, 2021
This repo contains implementations of important classic ML algorithms from scratch in Python.
View ProjectCS6890-Fraud-analytics
October 19, 2021 – December 10, 2021
Assignments for the semester Jun - Dec 2021 @ IIT Hyderabad
View ProjectCodeForces-Scraper
January 18, 2021 – December 15, 2021
Selenium-Python-based scraper for scraping the source codes and other information of the problems.
View ProjectDNN-Based-Face-Detection
March 6, 2019 – March 8, 2019
A Deep Neural Net-based face detection project, making use of Caffe implementation of resnet10 architecture to detect the faces in the images, videos, or using a webcam with good accuracy.
View ProjectAutomated-Essay-Scorer
February 14, 2019 – April 29, 2019
Deep learning & NLP based project, using word2vec model for creating word embeddings and using it to feed to LSTM neural network to predict the essay score awarded to a student.
View Projectcompilers.cse.iith.ac.in
September 5, 2018 – Present
compilers.cse.iith.ac.in — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards individual technical challenges and academic pursuits. While this demonstrates self-motivation and technical depth, there is limited evidence of team-based projects or contributions to open-source initiatives that would indicate strong cultural fit in a collaborative corporate environment. The projects are diverse in application but primarily focused on personal learning and competition, which might suggest a preference for independent work over team collaboration. The target role is 'Data Scientist', and the projects align well with the technical aspects of this role, but the breadth of skills outside of core ML/Python is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.