Daniel Milton
Data Science & Machine Learning @ UCSD
Machine Learning/Data Science student with a passion for software development, artificial intelligence, and entrepreneurship.
- Location
- San Diego
- danielmilton1999@gmail.com
- Phone
- 760-533-8518
- Website
- dlmilton.com
Experience
–
Software Engineer Intern at Qualcomm Institute - UC San Diego Division of Calit2
Worked with Unreal Engine 5 and Blueprint Programming Language; Learned how to work with UE5 Artificial Intelligence features to create functional NPC characters; Created from scratch an interactable bunny NPC character with dialogue tree, several different animations, object highlighting abilities, random movements within bounds, and other functionalities
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Software Engineer Intern at University of California, San Diego
Joint internship program between Qualcomm and The Arthur C. Clarke Center; Became adept at using python library OpenCV and used several computer vision techniques to scan underwater terrains; Used a combination of gaussian blurs, changing of color spaces, thresholding, edge detection, and more; Condensed this into a program that inputs an image and outputs a feature detected top plan
–
Student Web Developer at UC San Diego Stem Cell Program
Design, maintain, and update stemcellprogram.ucsd.edu; Worked frequently with Adobe Photoshop to create new designs on site and social media; Utilized HTML and CSS to create/tweak web pages
Education
–
Bachelor of Science: Machine Learning + Minor in Data Science from UC San Diego
Courses
- Data Structures and Algorithms for Data Science
- Data Science in Practice
- Brain Computer Interfaces
- Exploratory Data Analysis and Inference
- Introduction to Data Management
- Introduction to Data Science
- Introduction to Machine Learning II
- Introduction to Probability
- Linear Algebra
- Principles of Data Science
- Programming and Basic Data Structures for Data Science
- Recommender Systems and Web Mining
- Research Methods, Statistical Analysis
- Statistical Methods
- Supervised Machine Learning Algorithms
- The Practice and Application of Data Science
- Theoretical Foundations of Data Science I
- Theoretical Foundations of Data Science II
- Vector Calculus
Languages
- English
- Fluency: Native or bilingual proficiency
- Vietnamese
- Fluency: 4/5
Skills
- Proficient
- Level: 3/3Keywords:
- Familiar
- Level: 2/3Keywords:
