From Academia to the Corporate World

Agenda

With more and more data available and generated every day, uncovering patterns and drawing informed insights from it 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 my transition from Academia to Industry, from a Mathematics professor to a Lead Data Scientist, I have assembled a set of steps to accomplish this goal for individuals with a mathematical background like me or without any prior experience in this field of study.

Here I will talk about those extra steps that are needed to flourish in a new position ranging from working on mentored data science projects with Industry mentors, networking through LinkedIn, Meetup and other applications as well as 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.

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Future of Data & AI Conference
Future of Data & AI Conference
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