Jay Sherman

Email: adi4yv@r.postjobfree.com

Phone: 860-***-****

Northeastern University

Bachelor of Science in Mathematics and Data Science June 2021 Honors: Honors Program, Dean’s List GPA – 4.0

Relevant Coursework:

• Data Collection / Analysis

• Information Visualization

• NoSQL Databases

• Artificial Intelligence

• Big Data for Cities

• Machine Learning I, II

EXPERIENCE

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Python, SQL, Microsoft Office, R, Tableau, Scala, C++, Java NBCUniversal

Data Scientist Co-op

Improved reliability of NLP project to optimize ad placement

• Increased sentiment prediction accuracy by 20% using supervised ML

• Clustered scripts with scikit-learn by word usage

• Quadrupled relevant results via word sense disambiguation filter

• Operated on entire ETL pipeline, from Amazon S3 to Python scripts John Hancock Life Insurance

Actuarial Co-op

Optimized process of calculating reserve fund minimum

• Designed and documented SQL queries and model enhancements

• Automated evaluation of model sensitivity changes NU Student Services

Member

Mathnasium of Storrs

Tutor

Analyzed students’ needs and strengths through testing

• Developed personalized learning plans for over 50 students

• Strengthened mathematical proficiency in up to 3 students at a time Jul 2019 – Dec 2019

Jul 2020 – Dec 2020

Jan 2018 – Jul 2018

Aug 2016 – Aug 2017

Northeastern University – 4.0 GPA

Bachelor’s of Science in Mathematics and Data Science Honors: Honors Program, Dean’s List

Relevant Coursework:

• Data Collection / Analysis

• Information Visualization

• NoSQL Databases

• Artificial Intelligence

• Big Data for Cities

• Machine Learning I, II

Sep 2017 – Jun 2021

Built linear model to predict suicide rates in over 200 global territories

• Webscraped, cleaned, and imputed 3 decades of data in R Performed advanced machine learning to model wine using scikit-learn

• Classified wine by color using SVM and Logistic Regression

• Predicted quality of wine using linear models with various BFEs Designed visuals reporting clear disparity in Boston businesses’ presence

• Utilized geographic data to visualized neighborhood trends in R Constructed database showing connections between musical artists

• Performed web-scraping and categorized Wikipedia data in Python

• Stored data in MongoDB database

Designed SQL database to represent the international soccer leagues

• Developed frontend in Java to support user-end CRUD operations

• Designed backend triggers to ensure accuracy of data input

Contact this candidate