NLP - Topic Modeling of Twitter Data
Topic modeling of twitter data using LDA model
Currently based in Toronto
Data scientist. Travel junkie.
Tryambak is a data scientist based in Toronto, Canada. In past he has worked on reinforcement learning, anamoly detection and machine translation. He currently works for Arcadis, and is actively involved in several NLP projects. Tryambak is intersted in sharing ideas and frquently participates with the community and tech for good. In spare time, he mentors data science students, and splits time between traveling and volunteering.
Topic modeling of twitter data using LDA model
Comparison of different AI models to predict House Prices in Toronto
Use of AWS Sagemaker to deploy a simple MNIST machine learning model
Comparing the performance of deep learning architectures (RNN, Transformers, Attention LSTM, Weighted Attention) as reinforcement learning policies to predict stock market behavior
Evaluating the performance of generative-adversarial-networks to correctly label unlabelled images