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Data Scientist
June 20, 2026 – Present
quarc-counterspeech
May 18, 2023 – September 23, 2023
[ACL 2023] Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation
View Projectplotex
January 5, 2023 – February 7, 2023
A minimal wrapper over matplotlib for generating clean and elegant plots (with utilities for rapid prototyping) for publications
View ProjectSCANING
June 24, 2022 – August 19, 2023
[CIKM'23] Code and data for our paper 'James ate 5 oranges = Steve bought 5 pencils': Structure-Aware Denoising for Paraphrasing Word Problems
View ProjectAspect-Based-Sentiment-Analysis
November 30, 2021 – November 30, 2021
Aspect-Based-Sentiment-Analysis — GitHub repository
View ProjectHandwrittenDigitsRecognizer
March 29, 2021 – March 29, 2021
Recognizing handwritten digits by processing with OpenCV and a custom CNN using TensorFlow
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal research and academic contributions, primarily in NLP and computer vision. While this demonstrates strong technical initiative, there is limited evidence of experience in diverse industry applications, team-based projects, or broader data science domains beyond research. The target role is 'Data Scientist' at Google, which typically requires a blend of research acumen, product sense, and collaborative development. The current profile leans heavily towards individual research, which might require adaptation to a more product-focused, collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and 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.