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Hi there 👋

I'm a graduate student in Operations Research and Statistics at Stony Brook University,New York. My interests lie in Sequential Decision Making, Deep Generative modelling and Bayesian Statistics.

As part of my graduate degree,I have worked on projects involving Convex Optimization,Unsupervised Learning,Deep Learning,Portfolio Simulation,Natural Language Processing and Bayesian Optimization for Risk Measures.

I'm fascinated by cryptocurrencies. Cryptocurrency enabled trustless storage and compute will fundamentally change the way how business is conducted on the internet. Motivated by the wild volatility in it's price movement, I have also built a technical analysis based cryptocurrency trading system using Python.

I am interested in working on problems where Data Science and Machine Learning are core to the business and essential to the bottomline revenue of the company.

I'm looking to collaborate on building out the cryptocurrency trading system. Please reach out to me if interested.

ankit-a-aggarwal's Projects

applied-ml icon applied-ml

📚 Papers by organizations sharing their work on applied data science & machine learning.

awesome-quant icon awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

bitcoin icon bitcoin

Bitcoin Core integration/staging tree

books icon books

Source code for 100+ books, kept here for quick reference

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

ml_in_qf icon ml_in_qf

AMS 691.03 Machine Learning in Quant Finance Project

pycon_2017 icon pycon_2017

Fantastic Data and Where To Find Them: An introduction to APIs, RSS, and Scraping

pyti icon pyti

Python library of various financial technical indicators

spoj icon spoj

Some selected solutions

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