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Hi šŸ‘‹, I'm Amir Fard

Finance Professor and Data Science Adventurer

  • šŸ”­ Iā€™m currently working on getting my hands on the Git, Codespace, and import my projects

  • šŸŒ± Iā€™m currently learning Supervised and Unsupervised learning models using python.

  • šŸ‘Æ Iā€™m looking to collaborate on any fun and goal-oriented data-science projects

  • šŸ’¬ Ask me about any statistical, econometrical, and model development questions

  • šŸ“« How to reach me email me or connect on LinkedIn

  • āš” Fun fact I love watching and playing soccer (both actual and video games), I have an interesting meme collection

Connect with me:

amirhossein fard, ph.d. miro8766

Languages and Tools:

mssql mysql pandas python pytorch scikit_learn seaborn tensorflow

Amir Fard's Projects

10k-mda-section icon 10k-mda-section

Extract the Management Discussion and Analyses (MD&A) section from 10K Financial Statements

applied-ml icon applied-ml

šŸ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

best_ai_papers_2022 icon best_ai_papers_2022

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

crfpindex icon crfpindex

Dataset for the climate-related financial policy index (CRFPI)

data-science-projects icon data-science-projects

Exploratory Data Analysis (EDA), Prediction (Regression), Prediction (Classification), Cluster analysis (Unclassified data) and Advanced data science (Deep Learning)

financialmarketanalysis icon financialmarketanalysis

This Jupyter notebook (Python) enables the user to perform an automated YTD stock market analysis for the sector of interest.

panda-basic icon panda-basic

Basic filtering and modifying dataset using Pandas along with basic plotting using matplotlib and seaborn

professional_portfolio icon professional_portfolio

A culmination of work completed during Bellevue University's Master of Data Science program and side projects while working at Forbes Media.

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

workshop-resources icon workshop-resources

This repository contains material helping you to set up a ContentMine workshop. It also includes tutorials for learning the ContentMine tools on your own.

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