SWE-ML @google. Ex-Applied Scientist @UiPath. Ex-Member Tech @deshaw. Interested in NLP and deep learning.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist
June 16, 2026 – Present
Toxic-Spans-Detection
April 6, 2021 – April 6, 2021
Code for the paper "Entity at SemEval-2021 Task 5: Weakly Supervised Token Labelling for Toxic Spans Detection"
View ProjectGloVeInit
March 24, 2020 – December 7, 2020
Implementation of the GloVeInit model for SemEval-2020 Task 1 sub-task 2: Using GloVe Vector Initialization for Unsupervised Lexical Semantic Change Detection
View ProjectCross-Domain-Ambiguity-Detection
February 26, 2020 – March 30, 2020
Cross-Domain Ambiguity Detection using Linear Transformation of Word Embedding Spaces
View ProjectNews-Classification-using-Ensemble-Deep-Learning
May 28, 2019 – May 28, 2019
A comparative study of the performance of individual and ensemble deep learning models in the multiclass text classification problem.
View ProjectDigit-Recognizer
June 20, 2018 – July 17, 2018
A comparative study of different neural networks and their performance on the MNIST dataset.
View Projecttitanic-kaggle
May 28, 2018 – June 8, 2018
Machine Learning models for Kaggle's 'Titanic: Machine Learning from Disaster' competition
View ProjectIssue-Label-Recommender
December 14, 2017 – December 16, 2017
A supervised learning project to predict labels for a git issue.
View ProjectHackerrankProjectEuler
October 3, 2017 – December 25, 2018
Hackerrank ProjectEuler+ solutions
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards academic and competition-based data science problems, which suggests a research-oriented mindset. The diversity of NLP and ML projects indicates a willingness to explore different problem domains. However, the lack of team-based or production-oriented projects makes it difficult to assess collaboration and real-world application focus. The future-dated experience at Google is a significant anomaly.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, but they have a current role as 'Data Scientist' at Google starting in 2026, which is a future date and contradicts the experience level. This discrepancy makes it difficult to evaluate real-world operational fit.