Hello everyone — I’m Hridayesh Chettri from Darjeeling, India. I graduated in Physics with minors in Mathematics and Computer Applications. Presently, I’m keenly interested in Bayesian time-series and probabilistic programming as I am trying to delve into Machine Learning and Artificial Intelligence.
I have had experience with mathematical computation using python in my graduate studies. For my final-year project, “Risk Management in Stock Markets and Portfolio Optimization Using Physics-Inspired Machine Learning”, I used Python to build physics-inspired models for portfolio analysis. This work convinced me that modelling uncertainty via Bayesian approaches is essential for good risk estimates and decision making.
I’ve installed PyMC, run some of the state-space examples, and watched “Getting Started with PyMC” by Chris Fonnesbeck . I am plannig to watch and study the “Statistical Rethinking” resources recommended by the mentor to the past contributors. While I am new to open-source contributions, I am actively learning the process (forking, branching, pull requests, documentation contributions) and preparing my first small PR. GSoC is an opportunity to not only contribute meaningfully to PyMC, but also to grow under mentorship and put forward good research.
I am especially interested in the project “Scalable Online Bayesian State Space Models” because it matches well with my background in physics-based modelling and time-series analysis. I find the idea of updating models step-by-step(dynamic modelling) as new data arrives very interesting and very essential in handling uncertainty in changing systems.
@jessegrabowski @Dekermanjian -would you kindly recommend how I should go about creating my first PR or a beginner friendly issue I should focus on?
I can commit 12-17 hours/week
While I am enthusiastic about GSoC, I am equally interested in becoming a long-term contributor to the PyMC community beyond the program.
. My GitHub is hridaiiiEx (Hridayesh Chettri) · GitHub and my linkedIn is www.linkedin.com/in/hridayesh-chettri-ba8a03226 (looking forward to connecting with the community).
Looking forward to learning together and contributing with everyone.