David Groden
@davidgroden
Data scientist with expertise in machine learning and software engineering.
What I'm looking for
I am a passionate data scientist and software engineer with a Bachelor of Science in Engineering from Princeton University. My academic journey has been marked by a strong focus on computer science, where I graduated with honors and a GPA of 3.91. I have honed my skills through various internships, where I applied machine learning techniques to solve real-world problems, including developing algorithms for object detection and analyzing user satisfaction across global platforms.
During my time as a Data Science and Machine Learning Intern at Parallel Wireless, I collaborated directly with the CEO to create a proof of concept that significantly improved our proposal for a high-priority customer. My experience also includes working with cutting-edge technologies in autonomous vehicles and contributing to significant research projects at prestigious institutions like the University of Michigan. I thrive in environments that challenge my analytical skills and allow me to innovate.
Experience
Work history, roles, and key accomplishments
Data Science and Machine Learning Intern
Parallel Wireless
Jul 2018 - Jul 2018 (0 months)
Conducted data science analysis to generate proof of concept for a new business direction. Collaborated with the CEO to present insights to a high-priority customer and led a team to build a detailed model of the customer’s network, improving proposals through machine learning techniques.
Software Engineering Intern
Cortica
Jul 2017 - Jul 2017 (0 months)
Evaluated novel object detection algorithms using Cortica’s unsupervised learning technology. Established performance benchmarks for lane and general driving object detection by implementing advanced machine learning classifiers.
Design Thinking Project Associate
Princeton University
Jul 2016 - Jul 2016 (0 months)
Utilized Design Thinking to identify barriers to student technology innovations and recommended solutions. Redesigned the campus data website and helped establish an organization to support student software projects.
Physics Research Assistant
University of Michigan
Jun 2013 - Aug 2015 (2 years 2 months)
Collaborated with Professor Keith Riles and graduate students to develop a MATLAB program for locating noise sources near gravitational wave detectors, contributing to the LIGO project.
Education
Degrees, certifications, and relevant coursework
Princeton University
Bachelor of Science in Engineering, Computer Science
2015 - 2019
Graduated with a Bachelor of Science in Engineering, specializing in Computer Science. Engaged in various projects and research, focusing on data science and machine learning applications.
Greenhills School
High School Diploma, General Education
2011 - 2015
Grade: Cum Laude
Graduated with a GPA of 3.91/4.00, Cum Laude, and recognized as an AP Scholar with Distinction. Achieved perfect scores on both Physics and Math SAT II subject tests and a 36/36 on the ACT Math and Science sections.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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