A curious overfit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
International Institute of Information Technology
Data Scientist
June 18, 2026 – Present
ic-clickbait-spoiling
February 28, 2023 – February 28, 2023
Work of Team Billy-Batson done as a part of ClickBait Spoiling Task in Semeval 2023.
View Projectindic-feature-extraction
September 23, 2022 – November 18, 2022
Extracting syntactical features of Indian Languages for Improved performance in downstream tasks like machine translation
View ProjectLift_wing_models
July 12, 2021 – August 23, 2021
This repository is the summary of the work done by me for the Wikimedia Foundation for the Gsoc 2021 .
View ProjectQueryBasedSummarisation
April 8, 2021 – May 5, 2021
Diversity_drivenAttention_Model_for_Query_based_Abstractive_Summarization
View ProjectDependency-Parser-Hindi
April 6, 2021 – April 6, 2021
Dependency-Parser-Hindi — GitHub repository
View ProjectControversyDetection
March 3, 2021 – June 11, 2021
controversy detection project for Social Computing course in IIIT Hyderabad. 2021.
View ProjectFake_News_Detection
November 18, 2020 – November 21, 2020
A respository consisting of a fake news detection methods tried over the binary classes of NELA-GT dataset.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on academic and research-oriented NLP tasks, which could indicate a good fit for roles requiring deep analytical and research capabilities. However, the projects are predominantly personal/academic, and there is only one listed professional experience as 'Data Scientist' starting in 2026, which appears to be a future role or a data entry error, making it difficult to assess real-world industry experience or collaborative work. The diversity of projects suggests an interest in exploring different areas within NLP.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.