Ruben Abbou

Experience

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  CHANEL

  Jul 2017 - Aug 2017

  Digital Analytics Intern

  - Utilized Excel and Photoshop to create a high precision polynomial regression model to automate and optimize the sizing of photos on website and applications; saved dozen of hours of manual labor per year.- Analyzed hundreds of the company’s commercial visuals by extracting their pixel dimensions and handling unconventional sizes.

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  University of Chicago

  Apr 2018 - Jun 2021

  Publication:User Authentication via Electrical Muscle Stimulation Yuxin Chen, Zhuolin Yang, Ruben Abbou, Pedro Lopes, Ben Y. Zhao, Haitao ZhengProceedings of ACM CHI Conference on Human Factors in Computing Systems (CHI), Yokohama Japan, May 2021. - TA (Data Analysis with Python and R - Booth MBA Course)- Grader (Introduction to Scientific Computing)- Grader (Statistical Theory/Method),- Course Assistant (Linear Algebra),- Grader (Mathematical Methods for Social Sciences),- Junior Tutor (Elementary Functions and Calculus) - Proposed and developed the pioneering method of extending total variation based non-convex optimization algorithms to the 3 dimesional graph domain to filter high frequency patterns from the smooth, interior body part of Bivalvia shells. - Developed skills in Software and Web Development and System Administration such as problem-solving for hardware and asynchronous client-server communication.- Administered and maintained 100+ Mac and Linux machines while providing user support for students and faculty.

  • Deep Learning Graduate Researcher

    Jun 2020 - Jun 2021

  • Various positions

    Jan 2018 - Jun 2021

  • Statistics Researcher

    Jun 2019 - Apr 2020

  • Senior System Administrator - Computer Science Instructional Laboratory

    Apr 2018 - Mar 2020
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  E15 Group

  Jun 2018 - Aug 2018

  Business & Data Analytics Intern

  - Developed and presented a benchmark tool using Tableau and R to pinpoint weak clients and strengthen food and beverage operations for Compass Group in almost 2k accounts including Amazon, Microsoft and Google.- Performed data mining and clustering from proprietary SQL databases and external data sources to evaluate 30+ potential drivers of performance. Used multiple linear regression to optimize account yield and project an increase in revenue of $10M over one year when improving poor performing sectors. Show less

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  CCC Intelligent Solutions

  Jun 2019 - Sept 2019

  Data Science Intern

  - Built a ML architecture using recurrent neural networks and leveraged deep pre-trained MobileNet model for feature extraction on 270k accident images; achieved 5 point lift in sensitivity from previous model used in phone application.- Treated class imbalance and predicted magnitude of change in velocity during car accidents using 30+GB matched dataset to evaluate the impact on model performance of adding telematics data, an emerging automotive technology which captures advanced information on driving habits and accidents. Show less

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  Inspirit AI

  Jun 2021 - Nov 2021

  Machine Learning Instructor

  - Taught a fundamentals of machine learning course to 140+ high school students, lead a facial emotion detection project and lectures on concepts and ethics.- Taught a course on designing deep learning systems, providing more depth in computer vision and NLP material for returning students.

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  Anumana

  Nov 2021 - now

  Data Scientist, Clinical Research
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  Nference

  Nov 2021 - now

  Data Scientist, Clinical Research