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Fourth Year Undergrad
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International Institute of Information Technology
Data Scientist
June 16, 2026 – Present
An-Empirical-Approach-to-Style-Transfer
May 27, 2019 – May 27, 2019
An-Empirical-Approach-to-Style-Transfer — GitHub repository
View ProjectPresidential-Speeches
September 18, 2018 – October 26, 2018
A LSTM based Language Model trained to generate speeches for various Presidents of the United States.
View ProjectNaive-Bayes-Language-Model
August 22, 2018 – August 22, 2018
An n-gram based language model, capable of scoring sentences on their grammaticality.
View ProjectResponse-Generation-with-AEL
May 16, 2018 – May 17, 2018
A Pytorch implementation of Neural Response Generation via GAN with an Approximate Embedding Layer, as proposed by - Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun, Xiaolong Wang, Zhuoran Wang, and Chao Qi.
View ProjectA-Persona-Based-Neural-Conversation-Model
May 5, 2018 – November 16, 2018
A-Persona-Based-Neural-Conversation-Model — GitHub repository
View ProjectManhattan-LSTM
May 5, 2018 – April 1, 2020
Keras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.
View Projectseq2seq-PyTorch
April 5, 2018 – August 27, 2018
An PyTorch implementation of the seq2seq model with attention for machine translation.
View ProjectResearch-Paper-Summaries
December 6, 2017 – May 16, 2018
Summaries of various research papers that I've read as a part of my undergrad research programme.
View ProjectSuper-Mario
March 10, 2017 – March 27, 2017
A remake of my childhood favourite, Super Mario Bros, as a medium of learning Unity 5
View ProjectShell
December 9, 2016 – December 9, 2016
Self created linux shell with support for piping and redirection
View ProjectCultural Fit Analysis
The candidate's projects are predominantly academic and research-oriented, focusing on advanced NLP and ML topics. This aligns well with roles requiring strong theoretical understanding and experimental implementation. However, the lack of diverse project types (e.g., production systems, data engineering, MLOps) might indicate a narrower focus, potentially impacting fit for roles requiring broader data science responsibilities or product development experience. The single listed professional experience as 'Data Scientist' at an academic institution further supports this research-heavy profile.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, indicating a focus on technical output. No information on collaboration, problem-solving approach, or communication style in a team setting.