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Hi there 👋

Welcome to my GitHub profile!

As a Data Science leader with over 7 years of industry experience and a Master's degree in Operations Research from Northeastern University, I have developed a strong skill set in advanced analytical techniques, machine learning, and data-driven decision-making. My past projects include work on search engines, recommender systems, and AI ethics.

On my GitHub profile, you can find a range of projects that showcase my technical skills and expertise in the field of data science. In addition to my technical skills, I am also committed to the ethical development of artificial intelligence and ensuring that its benefits are distributed fairly.

I am always looking for ways to expand my knowledge and stay up to date with the latest developments in the field. I enjoy sharing my experience through writing data science tutorials and articles, and I hope that my GitHub profile can serve as a helpful resource for others in the data science community.

To learn more about my work and experience, check out my LinkedIn! profile.

Thank you for visiting my profile.

💡 Updates

  • Check out my master's thesis on "Determining the optimal collection period for returned products in a stochastic environment" here.
  • :octocat: Checkout my articles on Medium with 300K+ views, and over 35% read-ratio across 6 articles

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medium-articles's Issues

error at final code block >>> import pyLDAvis.gensim

I am receiving the following error regarding pyLDAvis and gensim
ModuleNotFoundError: No module named 'pyLDAvis.gensim'

Have not had any luck finding solution on Google, although it seems to have something to do with how updated version and name change. I tried import pyLDAvis.gensim_models as gensimvis which also did not work.

Introduction to Topic Modeling.ipynb not found

I am looking for the notebook about LDA with Scikit-learn

From https://www.mygreatlearning.com/blog/understanding-latent-dirichlet-allocation/

LDA in python:

There are few python packages which can be used for LDA based topic modeling. The popular packages are Genism and Scikit-learn. Amongst the two packages, Gensim is the top contender. ‘Topic Modeling with Gensim’ is a good reference to learn about using the Gensim package for performing LDA. ‘Introduction to topic modeling’ serves as a good reference for using Scikit-learn package to perform LDA

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