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CS . ML . QF

  • šŸ‘‹ Hi, Iā€™m Claudio Catalani
  • šŸ‘€ Iā€™m interested in Quant Finance, Algorithmic Trading, and Machine Learning
  • šŸŒ± Iā€™m currently studying Computer Science & Math Methods for Quant Finance.
  • šŸ’žļø Iā€™m looking to collaborate on Algorithmic Trading & Machine Learning Projects.

Backend Developer specialized in Quantitative Finance and Algorithmic Trading with 3+ Years background. Experienced in building apps, pipelines and infrastructure for startup hedge funds. Skilled in Python, Bash, Test-Driven Development, Cloud, IT Automation, Data Analysis, and Deep Learning and Machine Learning. I feel comfortable solving complex problems, using agile development techniques, optimizing code, and doing technical mentorship. Looking for challenging projects to deliver high value software.

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Claudio Catalani's Projects

backtesting.py icon backtesting.py

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

backtrader icon backtrader

Python Backtesting library for trading strategies

catalanicd.github.io icon catalanicd.github.io

This a repository for a website about digital freelancing on Quantitative Finance & Computational Mathematics

dopamine icon dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

finta icon finta

Common financial technical indicators implemented in Pandas.

gym-trading icon gym-trading

Environment for reinforcement-learning algorithmic trading models

interview icon interview

Everything you need to prepare for your technical interview

machine_learning icon machine_learning

This repository is about machine learning ( supervised, unsupervised and reinforcement learning )

muskanrani icon muskanrani

:octocat: Hello there! This repository is for the welcome message on my Github Profile.

novatorem icon novatorem

Dynamic realtime profile ReadMe linked with spotify

py-quantmod icon py-quantmod

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

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