When Ryan Ondocin accomplished his undergraduate in biology and chemistry at Penn State, he assumed he’d comply with a profession in medication. But then Ondocin labored with PlantVillage, the place he had his first expertise in Python programming and utilized knowledge science, coaching object detection fashions for farmers to diagnose plant illness on their telephones. This expertise made him notice he wished to pursue a grasp’s in a associated discipline.
As a Syracuse native, Ondocin was aware of Syracuse University however discovered in regards to the iSchool from a distant relative. He in contrast the iSchools Applied Data Science graduate program to comparable packages throughout the US and finally felt the iSchool supplied essentially the most modern and well-rounded curriculum.
“The program is pretty novel. It’s adapting to a lot of the changes that industry,” says Ondocin. “I didn’t feel like other schools were as up-to-date in this regard. I definitely was receptive to the sorts of changes they wanted to see in the industry and what companies wanted candidates to know.”
Ondocin loved the fabric in his lessons, however to get essentially the most of his iSchool expertise, Ondocin obtained concerned with campus golf equipment and organizations, similar to Syracuse University’s innovation hub Blackstone LaunchPad. Through Blackstone LaunchPad, Onocin and two friends created the social media startup Satellite. Ondocin’s position at Satellite was Technical Lead, the place he targeted on server capability and creating correct documentation. Ondocin additionally labored with a bunch known as WiTech, whose aim was to implement a cellular early warning platform that used sewage samples to foretell Covid-19 instances in a selected space.
In his last semester on the iSchool, Ondocin accepted a full-time place as an Advisory Associate at KPMG’s Digital Lighthouse. Starting in July 2021, Ondocin will work as a knowledge scientist and modeler within the Seattle workplace to assist purchasers leverage knowledge and analytics to speed up their digital transformation. When reflecting on what made him a standout candidate, Ondocin credit his understanding of pure language processing.
“I think the reason I got the job is, two natural language processing Postdocs interviewed me, and some of my biggest projects just happened to be related to the field,” says Ondocin. “Since it’s an unstructured data form, you can obtain it by scraping the internet, leading to a higher volume of data. I think that’s why KPMG has a lot of people working in natural language processing because there are more opportunities to mine for patterns in things like tweets and company reviews. They simply need people who can make sense of the world through this.”
But it’s not simply Ondocin’s educational data that helps him stand out. Ondocin holds an equal stability of confidence and willpower that’s helped him discover success in utilized knowledge science. Ondocin jokingly admits he thought very extremely of himself whereas attending Penn State. But, after connecting along with his iSchool cohort, he discovered the variety of his friends and the iSchool neighborhood to be one of many biggest highlights of his graduate schooling.
“All the friends I made, they seriously pushed me to the next level in terms of calc, stats, machine learning, and data structures. They went to some of the best technical universities in India and China,” says Ondocin. “I think beforehand, I thought of myself very highly. But a lot of my friends from the program, they’re just so brutally honest and disagreeable. If they don’t think you’re that good at something, they’ll tell you, and that’s what solid friends do. Those kinds of experiences are very humbling. If the program didn’t have that kind of diversity, I don’t think I would have pushed myself as hard nor ended up where I am today.”