Topics: AI | Data Science | Data Visualization | Deep Learning | Machine Learning | NLP | Python | R | Statistics

About Reshama Shaikh

Reshama Shaikh, is a freelance data scientist/statistician and MBA with skills in Python, R and SAS. She worked for over 10 years as a biostatistician in the pharmaceutical industry. She is also an organizer of the meetups group NYC Women in Machine Learning & Data Science and PyLadies. She earned MS in statistics from Rutgers and MBA from NYU Stern School of Business. She is @reshamas on Twitter, on LinkedIn, and github.

Reshama Shaikh Posts (6)

  • Rethinking Mentoring In Data Science - 19 Jul 2019
    In recent years, I have heard the conversation of “find a mentor, you need a mentor to advance your career.” I received numerous requests from readers around the world to be their mentor. These requests encouraged me to think more closely about mentorship and the general expectations in the data science community.
  • Gold BlogGraphs Are The Next Frontier In Data Science - 18 Oct 2018
    GraphConnect 2018, Neo4j’s bi-annual conference, was held in New York City in mid-September. Read about what happened, and why graphs are the next big thing in data science.
  • Resources For Women In Data Science and Machine Learning - 04 Jun 2018
    A comprehensive list of resources for Women in Data Science and Machine Learning, including a list of useful tech groups and published lists for finding Women speakers.
  • To Kaggle Or Not - 02 May 2018
    Kaggle is the most well known competition platform for predictive modeling and analytics. This article looks into the different aspects of Kaggle and the benefits it can bring to data scientists.
  • How I Unknowingly Contributed To Open Source - 24 Apr 2018
    This article explains what is meant by the term 'open source' and why all data scientists should be a part of it.
  • Gold BlogHow Do I Get My First Data Science Job? - 02 Apr 2018
    Here are the steps you need to obtain your first job in data science, including details on how to create a good portfolio, key networking tips, getting the right education and managing expectations.

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