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From Academia to the Corporate World


With more and more data available and generated daily, uncovering patterns and drawing informed insights from them to solve complex problems are skills that data scientists need to acquire. Although they are formal and nonformal routes to have a data science career, there are a few things you need to do on top of it to be successful. On her transition from Academia to Industry, from a Mathematics professor to a Lead Data Scientist, Melissa assembles a set of steps to accomplish this goal for individuals with a mathematical background like her or without any prior experience in this field of study.

Learn the steps needed to flourish in a new position

  • Working on mentored data science projects with industry mentors
  • Networking through LinkedIn, Meetup, and other applications
  • Volunteering with different organizations
Melissa G Ngamini
Melissa G Ngamini

Lead Data Scientist at ADP

Melissa G Ngamini is currently working as a Lead Data Scientist at ADP focused on planning projects and building data science models to help improve business decisions. In addition to that, she enjoys volunteering as the Head of Education for ATLytiCS. She obtained her Bachelor of Science in Pure Mathematics from Morgan State University in Baltimore, Maryland in May 2009. In 2015, she obtained her Doctor of Philosophy in Applied Mathematics from North Carolina State University in Raleigh, North Carolina.

We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!