• I’m enthusiastic about open source and Probabilistic Programming. I spend some time learning Bayesian Inference and working with PyMC as a core contributor.

• I deeply care about making open source more accessible and inclusive. We’re organising a couple of events and a sprint in collaboration with Data Umbrella to help people contribute to PyMC, for more information see: pymc-data-umbrella.xyz

• During Google Summer of Code, I worked on Extending Bayesian Time Series Models of PyMC: Implementing a new class of models - SARIMAX, Kalman filter and state space implementation. Check the Project here for details.

• Here’s a recent talk at PyData about Hierarchical Bayesian models in PyMC.

Summer 2020 | Indian Statistical Institute

I spent the summer working on with Prof. Ujjwal Maulik and Prof. Sanghamitra Bandyopadhya (Director, ISI Kolkata) on Non Linear Dimensionality Reduction-Algorithms based on canonical feature extraction techniques such as PCA and LDA applied through Graph Embeddings.

January 2020 | Semester Long Project - Natural Language Processing

Developed an Unsupervised, graph-based algorithm for Keyphrase Extraction that exploits syntactic relations using dependency parsing, augmented with local text attributes. We reconstruct dependency trees in a Hyperbolic metric space to locate keywords, which are then further ranked by statistical NLP features. [doc]

Deprecat: An open source Python package which can be used to deprecate functions, methods, classes and kwargs. Additionally, one can auto-generate sphinx docstring in Numpydoc format

Sudokus and Graph Theory: Interpreting a Sudoku as an NP Graph coloring problem, visualization using networkx, and working through the Chromatic Polynomial to analyse the number of puzzles or solutions possibly generated with varying number of clues.

Reference Management Tool: A Viola Dashboard with LDA based topic modeling for editing, organizing and viewing research papers. MySQL and Python backend for automatic retrieval of metadata from PDFs scraping through Google Scholar and CrossRef.

Modeling movement of aquatic ecosystems: Modeling the movement of Pelagic fish stocks in North Atlantic ocean for the next fifty years by analysing the rise in global and local temperatures as an effect of global warming, suggesting relocation for small fisheries accordingly. This project was the only one to recieve an honourable mention from India at COMAP

I have been thinking about tools for thought and trying to write (some of) my notes publicly.

Once in a while I write a bit of poetry!!