Dr. Punit Mangal

Lead Data Science at Infinity Learn

Dr. Punit Mangal has a diverse work experience in various roles and industries. Dr. Punit worked as a Lead Data Science at Infinity Learn since 2022. Prior to that, they served as a Visiting Faculty at Mithibai College of Arts Chauhan Institute of Science and A.J. College of Commerce and Economics, where they taught computer science subjects and delivered high-quality lectures. From 2020, they also worked as a PhD Co Research Guide - Co Research Supervisor at JJT University. Additionally, they authored a book on renewable energy and smart grid at Pothi.com (Mudranik Technologies Pvt Ltd).

Dr. Mangal had multiple roles at LIDO, including Associate Data Science Manager, Lead Data Science, and Senior Business Analyst, from 2020 to 2022. Dr. Punit also worked as a Senior Analyst at EMERITUS Institute of Management from 2018 to 2020 and as a Learning Associate from 2016 to 2018, where they contributed to setting up the MIS and data analytics department. Prior to that, they served as an Assistant Manager at QuantInsti from 2015 to 2016. Dr. Punit also worked as a Visiting Faculty at South Indian Education Societys College of Arts Science and Commerce from 2014 to 2016.

Dr. Punit Mangal's education history is as follows:

- In 2009-2012, Dr. Mangal obtained a B.Sc. in Computer Science from R.J. College affiliated with the University of Mumbai.

- From 2012 to 2014, Dr. Mangal pursued an MSc in Computer Science from R.J. College affiliated with the University of Mumbai.

- In 2015-2018, Dr. Mangal obtained a PhD in Computer Science from JJT University (UGC Approved).

- In 2018-2019, Dr. Mangal pursued a degree in Applied Data Science with a focus on Data Analytics from Columbia Engineering.

Dr. Mangal also holds additional certifications in various areas like Python for Data Science and AI from Coursera, Power BI from Udemy, and guitar playing from Udemy. Additionally, Dr. Mangal attended the ASU GSV Virtual Summit in 2020.

Links

Previous companies

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Timeline

  • Lead Data Science

    September, 2022 - present

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