David Groden - Data Science and Machine Learning Intern - Parallel Wireless | Himalayas
DG
Open to opportunities

David Groden

@davidgroden

Data scientist with expertise in machine learning and software engineering.

United States
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What I'm looking for

I seek a dynamic role that fosters innovation and growth in data science.

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

PW

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.

CO

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.

UM

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 logoPU

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.

GS

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

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