From Junior Machine Learning Engineer to a Data Engineering Senior Analyst Job at Accenture

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Nov 16, 2022
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From Junior Machine Learning Engineer to a Data Engineering Senior Analyst Job at Accenture

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Armielyn Obinguar from the Philippines completed several Omdena challenges ranging from building an organizational gender equality assessment functionality to modeling food web and forecasting populations for endangered wildlife species. Omdena’s real-world experience helped greatly to get a job as a data scientist offered at Accenture. She also overcame being an introvert and gained soft skills.

What is your background? 

I’m one of the youngest product owners and lead machine learning engineers leading at Omdena. I’m also the student ambassador at Women in AI promoting inclusivity in the tech community. I work as a Data Engineering Senior Analyst at Accenture. I’m the founder of Google Developer Student Clubs on my campus to help bridge the gap between theory and practice.

What is your achievement? 

Two months ago, I got accepted for a role as a data scientist in Accenture while working on the Omdena project Identifying School Locations in Sudan from Satellite Imagery with UNICEF.

The map of Sudan on the Project Connect platform shows the schools (blue dots) where data is currently available

The map of Sudan on the Project Connect platform shows the schools (blue dots) where data is currently available

Certificate of Completion

Certificate of Completion: Identifying School Locations in Sudan from Satellite Imagery

How has the Omdena experience helped in your work career?

I joined Omdena local chapters last year in October 2021. I started with no experience in data science projects, and even machine learning was not my forte back then. But because of the resources, courses, and projects offered by Omdena, I got the chance to leverage my skills and be able to become a junior ML engineer during my 3 months at Omdena. Then I became a machine learning engineer in the next 3-4 months, and now a product owner and a lead ML engineer in two of the Omdena AI core challenges.

Some of the projects Armielyn took part in:

50 AI changemakers collaborated to build automated methods that allow for the identification, collection, and sorting of the biodiversity food web and population data to facilitate the valuation process.

50 AI changemakers collaborated to build automated methods that allow for the identification, collection, and sorting of the biodiversity food web and population data to facilitate the valuation process.

Build your portfolio with real-world projects from Omdena

How did it change your worldview?  What was the biggest obstacle you have overcome?

It’s almost one year and two months of being part of Omdena projects, from local projects to the core challenges. I’m an introverted person. But, because of these opportunities given to me in several projects, I was able to build my soft skills, and now I’m a founder & chief executive officer in Google developer student clubs PUP main campus, Manila, Philippines. 

“Sometimes you just have to jump in and try things that you have never done before. Sometimes, being a beginner is an advantage for you to learn things in data science, ML and AI.”

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