Name: FNU Ujjwal
Internship, Co-op, or Research Site: Atos ZData
Position Title: Data Science Intern
Major or Program: Master of Professional Studies in Data Science
Current Class Level: Master's Student
Work Term: Summer 2022
Tell us about your internship, co-op, or research opportunity, including your day-to-day responsibilities.
"I worked at Atos ZData as a data science intern where I was responsible for developing the whole framework of a novel monitoring component for an AI based NLP product.
My day to day responsibilities included surveying the literature and implementing the best practices to improve and integrate the monitoring component in the containerized product pipeline.
I worked on GitLab, Github, Python, Docker-Containers, VSCode, Kubeflow, Kubelens, Kubernetes and Google Cloud Platform.
This internship was an amazing experience for me since I gained a lot of hands on experience. After completing this internship I am more confident about my skillsets, what I already know and what more do I need to learn.
I am extremely grateful to my team members at Atos ZData specially Dr. Bryan Wilkinson for constantly supporting me throughout the internship and I am also thankful to UMBC for connecting me with this amazing opportunity."
Describe the process of obtaining your position. When did you hear of the position and submit your application?
I consulted career center for a lot of things including resume reviews and career guidance. Once I got confident regarding my resume and interview skills, I started applying through LinkedIn and UMBCWorks. I found the Data Science Intern position post by Atos ZData at UMBCWorks and applied for it. Then I was invited for an interview which revolved around my projects, what I established in them, what more I aim to learn and how I view the domain of data science and machine learning evolving.
What have you enjoyed the most about your position or organization?
I loved the learning part the most because it's never ending and when you club it with discussions with your peers, you'll be amazed to gain insights about various perspectives associated with any problem statement.
How do you believe you have made an impact through your work?
All the team members in Atos ZData were really supportive and were eager to help me navigate through the project. That boosted my confidence and accelerated my learning process.
What advice would you give to another student who is seeking an internship or similar experience?
I would advice any students interested in seeking a data science/AI/machine learning internship to be prepared for going through a lot of literature and to adapt to new technological development in these fields. This will help them in gaining an edge in the job market.
Please provide a short reflection or quote about what you liked most about your position / earning internship credit / working with the Career Center.
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]]>Closer to the event a guide will be sent to those registered on how to navigate these rooms for informational interviews (including seed questions).
This year, the event will be hosted through an online platform to make it easier to provide more interactions between participants and speakers. You are welcome to attend every session, or just those in which you are interested.
Registration is FREE, but please only register for those you plan to attend.
FULL DETAILS regarding this opportunity are available HERE
Welcome to the CARD/FAES Application Portal for the UMBC MPS in Data Science IRTA Fellowship Program. This portal is maintained by FAES in cooperation with the Center for Alzheimer's and Related Dementias (CARD).
Now accepting Cohort I applications for the August 2022 semester start.
CARD/FAES Application Deadline: May 2, 2022
(please refer to the timeline below for additional important dates)
The newly formed Center for Alzheimer’s and Related Dementias (CARD) at the National Institute on Aging (NIA) and the National Institute of Neurological Disorders and Stroke (NINDS) is offering a two-year unique, research-intensive master’s level fellowship program to build a stronger, more diverse and inclusive community in biomedical data science. The goal of this program is to cultivate the next generation of data science and bioinformatics professionals at CARD. Fellowship awardees will gain foundational knowledge in data analysis and data management through collaborative online instruction and research performed at CARD with experts in the field of Alzheimer's and related dementia research. Beyond their coursework, as members of the research team, fellows have the opportunity to utilize and refine new skills while working with real data curated at CARD. Information about the CARD mission and philosophy, scientific themes and structural priorities, as well as mentors, can be found on the CARD website.
Three application cohorts will be administered over the course of three years; each cohort will start in the Fall semester of 2022 (Cohort I), 2023 (Cohort II), and 2024 (Cohort III). Application dates for Cohorts II and III will be posted in the spring of the corresponding year.
The following information provides details on who is eligible for this exciting opportunity and the eligibility requirements, admission requirements and how to apply for the fellowship program, proposed coursework, and timelines for completing the CARD and UMBC applications. Watch the video of the Virtual Information Session for additional information about CARD, research and mentoring at CARD, and to better understand the framework for blending FAES and UMBC courses. The FAQ page also includes answers to a variety of commonly asked questions that may not be otherwise covered on this page.
FELLOWSHIP OVERVIEW
U.S. Citizens or U.S. Permanent Legal Residents: Selected candidates will receive a full-time Intramural Research Training Award (IRTA) Student (Academic) Fellowship to work at CARD for a total of two consecutive years. During this time, selected candidates will get trained in data analysis while studying the MPS degree. The fellowship will cover costs of the MPS degree (except for books), including a paid stipend while working at CARD.
Candidates with no intention of working at CARD are not eligible for the fellowship. However, they can pursue the MPS on their own by applying directly with UMBC.
The program is a 30-credit hour professional graduate degree with a mandated minimum GPA of 3.0. This two-year degree/fellowship program will allow qualified students who take specified FAES Data Science and Bioinformatics courses to transfer up to 15 credits to UMBC’s MPS in Data Science. The master’s degree will be earned in two consecutive years. All courses will be taught by highly experienced data science professionals.