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PhD Student in IIT-Kanpur, India (Machine Unlearning in LLMs) M.Tech in Data Science , with knowledge of Azure in an enterprise setting.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IIT - Kanpur
Data Scientist
June 18, 2026 – Present
Unlearning-Reliability-Paradox
April 30, 2026 – Present
Unlearning-Reliability-Paradox — GitHub repository
View ProjectImport-NLP-SemEval-2024-Task-10
September 24, 2023 – November 8, 2023
Import-NLP-SemEval-2024-Task-10 — GitHub repository
View ProjectExploration-Lab.github.io
November 17, 2022 – September 18, 2025
Exploration-Lab.github.io — GitHub repository
View Projectmosquito_sim
October 31, 2019 – October 11, 2020
Mosquito Simulation to analyse spread of mosquito born diseases
View ProjectML-lab
August 12, 2018 – September 10, 2018
A python repository containing all the laboratory programs of my 7th semester laboratory
View ProjectDodger
January 31, 2018 – January 31, 2018
Awesome game using Dos Graphics I made as my high school computer project. P.S.: This isn't the final version. I had made modifications but I could not record them
View ProjectArduino_projects
July 31, 2016 – July 31, 2016
This repository stores all the codes compatible with arduino uno. All are tested on more than one arduino and tested throughly for bugs. Any associated header files or codes are also attached.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal exploration and learning, with a diverse set of technologies and project types (e.g., NLP, machine learning labs, game development, Arduino). This indicates a proactive and self-driven individual. However, the lack of team-based projects or detailed descriptions of collaboration limits the assessment of cultural fit in a professional team environment. The target role is 'Data Scientist', and many personal projects align with this, suggesting a good foundational interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the only professional experience entry has a future start date, providing no past performance or collaboration context. Project descriptions are brief, limiting insight into communication style or problem-solving approaches.