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Mostafa M. Rezaee     Personal Website SaveBirds Linkedin Google Scholar ResearchGate ORCID Twitter Badge Gmail GitLab GitHub

My brief CV

  • Data Science, PhD | AI Scientist

  • Internship: I did a summer internship at Sanofi, Cambridge, MA, focusing on Wearable Medical Devices. For my project, I developed a Python package to implement multiple algorithms and run diagnostics. Data preprocessing is also covered.

  • SaveBirds.app: www.SaveBirds.app is my Ph.D. project, a Data Science web application that helps manage 40,000 Protected Areas (PAs) across North America. SaveBirds fuels the US$75 billion wildlife-watching industry indirectly.

  • Bird Atlas Generator: Developed the first publicly available comprehensive Bird Atlas Generator of North American Breeding Bird Survey data which is available at SaveBirds.

  • Publications: 30 Publications including 9 Journal articles & 21 full conference papers. Moreover, 6 under-preparation journal articles are outlined at SaveBirds. All the publications are computational studies using modeling and simulation approaches.

  • Recommendations: Please see my LinkedIn recommendations.

Skills

Skills Selected programming languages and Libraries
Deep Learning TensorFlow PyTorch Keras caret
Machine Learning scikit-learn caret
Python Python Pandas NumPy Statsmodels datetime ipywidgets math GeoPandas fastparquet
R R dplyr caret ggplot2
SQL MySQL PostgreSQL
Visualization Matplotlib Seaborn ggplot2
Editors Google Colab JupyterLab Jupyter Notebook VS Code PyCharm
Git Git GitHub GitLab
Image Processing OpenCV Pillow scikit-image
Time Series Analysis   TSA Statsmodels ARIMA SARIMA LSTM
ArcGIS ArcGIS
Package Manager Conda Venv Docker

Mostafa M. Rezaee's Projects

applied-ml icon applied-ml

📚 Papers & articles of companies sharing their work on applied data science & machine learning.

bert icon bert

TensorFlow code and pre-trained models for BERT

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

hyperopt_fashionmnist icon hyperopt_fashionmnist

# Bayesian Optimization In this example a bayesian framework is defined to tune hyperparameter of a CNN using hyperopt library developed https://github.com/hyperopt Bayesian optimization is a seuential model-based approach to solving problems. In particular, we prescribe a prior belief over the possible objective functions and then sequentially refine this model as data are observed via our updated beliefs-given data-on the likely ojective function we are optimizing. https://www.cs.ox.ac.uk/people/nando.defreitas/publications/BayesOptLoop.pdf This blog summarises bayesian optimization very thoroughly. https://medium.com/vantageai/bringing-back-the-time-spent-on-hyperparameter-tuning-with-bayesian-optimisation-2e21a3198afb The CNN is used to model fashion MNIST dataset.

integratedrefined icon integratedrefined

In this repository the code that ensemble different REFINED approaches is provided.

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

jupyter icon jupyter

Repository containing Jupyter Notebooks for most of the blog posts on my blog. For example, there are data visualization, data manipulation, and data analysis code examples in the Notebooks

large-language-model-hub icon large-language-model-hub

A curated collection of interesting applications, repos, and tutorials using large language models (LLM) like GPT-3

mpi4py icon mpi4py

Examples of Message Passing Interface in Python using MPI4PY

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