Research Scientist @Adobe | PhD University at Buffalo and IIIT-D | CS '22 BITS Goa
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Assessing your cultural and operational fit
adobe
Data Scientist
June 16, 2026 – Present
web-experience-benchmark
January 21, 2026 – Present
Benchmarking for Evaluating Web Experience (Core Web Vitals, etc)
View Projectawesome-media-memorability
October 3, 2024 – Present
🤩 An AWESOME Curated List of Papers, Workshops, Datasets, and Challenges in Media Memorability
View Projectcalling-out-bluff
July 16, 2020 – September 9, 2020
calling-out-bluff — GitHub repository
View Projectdecepticonlp
May 4, 2020 – December 26, 2022
Python Library for Robustness Monitoring and Adversarial Debugging of NLP models
View ProjectFlaiReddit-MIDAS
April 6, 2020 – March 20, 2021
A Webapp deployed on Heroku which detects the 'flair' tags of a Reddit Post from the subreddit r/india
View Projectkeyphrase-extraction
August 9, 2019 – June 15, 2020
keyphrase-extraction — GitHub repository
View ProjectCTE-Intro-To-Machine-Learning
July 12, 2019 – October 30, 2019
Assignments of the course Introduction to Machine Learning
View ProjectCertificate_Generator
June 24, 2019 – June 3, 2021
Certificate_Generator — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal exploration and learning in the data science domain. The diversity of projects, from NLP to web scraping and web app deployment, suggests a proactive and curious individual. The current role at Adobe as a Data Scientist aligns well with the target role, indicating a clear career path. However, without further details on collaborative projects or team experiences, a comprehensive cultural fit assessment is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric test results are available.