Featured Member: Jermaine Marshall on HBCU CONNECT!

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Jermaine Marshall
PhD Candidate, University of Notre Dame
Location: Mishawaka, IN United States
Joined: Mar 10th, 2020

About (request update)

Education (request update)

University of Arkansas, Little Rock class of 2015

Undergrad Major: Computer and Information Science

University of Notre Dame class of 2020

Grad Major: Computer and Information Science

Experience

I currently work with University of Notre Dame as PhD Candidate
I have years of experience working in the Computers, Software industry.

Teaching Assist: Artificial Intelligence Education | Apple Inc.
From November 2019 to Current • 7 year(s)
Aid in course content creation and explaining machine learning concepts in machine learning specialization course. Hold office hours to aid students on concepts such as classification, regression, NLP, and evaluation metrics.

Data Science Intern | Chegg Inc.
From May 2019 to August 2019 • 0 year(s)
Developed convolutional neural network models for predicting job titles based on resume job description. Neural network models produced embeddings that could aid in autocompletion of sample job summaries given a job title.

Data Scientist Research Intern | eBay Inc.
From May 2018 to August 2018 • 0 year(s)
Developed LSTM prediction model for forecasting numerical demand of live events utilizing social Twitter data and internal Stubhub data. Engineered features were later allocated to models for ticket sales predictions.

Data Scientist Research Intern | eBay Inc.
From May 2017 to August 2017 • 0 year(s)
Developed and evaluated a fine-tuned Extreme Gradient Boosting model to predict if a user will go from landing page to checkout page. Developed Pairwise Model using an objective function for ranking users based on performer preference.

Machine Learning Intern | Intel Corp.
From May 2016 to August 2016 • 0 year(s)
Developed time series and logistic regression models to better understand what factors lead to customer satisfaction with the goal of increasing conversion rates from trial to activation of McAfee subscriptions by 3%. Performed cluster analysis on Android SDK permissions.

Teaching Assist: Data Science | University of Notre Dame
From August 2015 to December 2015 • 0 year(s)
Tutored students on applying data analytics, classification and unsupervised methods to solve prediction problems such as fraud detection. Helped teach students how to perform data analysis and evaluation metrics such as ROC and precision-recall.

Software Engineer Intern: Mobile Apps | Adobe Systems Inc.
From August 2015 to August 2015 • 0 year(s)
Developed an Android Unit Test Automation Framework for the Document Cloud Mobile App product and effectively decreased the amount of time devoted to Unit Testing.

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