University of Oxford
Master of Business Administration
- MBA candidate · Expected completion September 2027
EDUCATION / ACADEMIC BACKGROUND
Always
learning.
A foundation in data science, a business perspective, and a habit of putting new ideas into practice. Now continuing that journey through the Oxford MBA.
University education
Boston University
BS in Data Science · Cum laude
- Minor in Business Administration
- Military leave, 2020–2022
THE LEARNING JOURNEY
Data meets business.
Oxford · September 2026–September 2027
The next chapter
I'm currently studying for my MBA at the University of Oxford, with completion expected in September 2027. I bring experience in technical products, data research and teaching into this new chapter.
More about my backgroundBoston University · Class of 2024
Learning, then teaching
Alongside my BS in Data Science and Business Administration minor, I supported DS310 Data Mechanics and BA305 Business Decision-Making with Data. Discussion sections, office hours and exam preparation gave me another way to work through the material: helping other students understand it.
BU profileACADEMIC RECOGNITION
Along the way.
Spring 2023
Dean's List
Boston University Faculty of Computing & Data Sciences.
Fall 2019
Dean's List
Boston University College of Arts & Sciences.
PROFESSIONAL DEVELOPMENT
Beyond the degree.
Jul 2026 – Sep 2026
VC Lab
Venture Institute · Cohort 7
Completed Venture Institute as a member of Cohort 7, graduating in September 2026.
Sep 2022 – Jan 2023
Likelion
Data Science Bootcamp Student
Completed 10+ projects in a government-scholarship-funded data science bootcamp.
Worked with Python, SQL, pandas, NumPy, Matplotlib, seaborn, scikit-learn, TensorFlow, Keras and Tableau.
February 2022
Google Data Analytics
Specialization · Coursera
Completed the Google Data Analytics Specialization, an earlier step in my path into data science.
View credential listingLEARNING BY BUILDING
From concepts
to code.
10+ bootcamp projects
My scholarship-funded Likelion programme combined data collection, exploratory analysis, machine learning and deep learning. Work ranged from air-quality analysis to e-commerce logistics and Korean text generation.
Explore the project archiveA practical toolkit
Python and SQL for working with data; pandas and NumPy for analysis; Matplotlib, seaborn and Tableau for visualisation; scikit-learn, TensorFlow and Keras for modelling.
See how I've applied itEarlier foundations
St. Dominic Savio Catholic High School
High school
- Founder and President, Filmworks Club · Aug 2016 – May 2017