Projects

Transfer Learning in NLP

Python, Transformers, PyTorch Lightning | GitHub Link

Understand current concepts in NLP like Self-Attention, Pretraining and Language Models
Perform literature review on State-of-the-Art models like T5, GPT and BERT
FineTune t5-small on different tasks like Sentiment Analysis and Emotion Classification

ML for Option Pricing

Python, Keras, Pandas, NumPy | GitHub Link

Explore the effectiveness of different Neural Network architectures for the task of Option Pricing
Compare the results of ML based techniques with traditional models like the Black-Scholes and the Heston model

Attention based LSTM

Python, PyTorch, NumPy | GitHub Link

Implemented the paper Attention-based LSTM for Aspect-level sentiment classification on SemEval 2014 dataset
Reproduced the results from the paper and additionally visualized attention weights for different aspects

YouTubeNLP

Python, Docker, Flask, Gensim, Transformers | GitHub Link

Worked on a web application which provided insights about comments and transcript of YouTube videos
Used different transformer based models like BERT and GPT for tasks like NER and Emotion Analysis

Fashion Intelligence System

Python, PyTorch, React | GitHub Link

Developed a Fashion Intelligence System which scrapes and ranks products from e-commerce websites
Products were ranked based on similarity between image embeddings of scraped and trending products
Code was written in a modular format to facilitate scaling across new products and websites

Cross Domain Recommendation System

Python, Pandas, NumPy, scikit-learn | GitHub Link

Implemented a collaborative filtering model to recommend Books to users based on how they rated Movies and vice-versa with 0.84 RMSE
Data was collected by surveying over 300 people and the model was implemented using pandas, numpy and scikit-learn