Data Analyst Assistant

Rhys Jervis

Irvington, NJ ****.********@*****.*** 973-***-**** Linkedin.com/in/jervis

Education & Professional Development

The University of The West Indies, St. Augustine

Master of Science, Statistics (with Distinction) June 2019 Bachelor of Science, Actuarial Science Upper (2nd Class Award) June 2016 Udacity – Data Scientist Nanodegree August 2020 – October 2020 Data Camp – Data Analyst with Python November 2019 Coursera – Improving Deep Neural Networks April 2019 Online Learning

Professional Experience

Starbucks

Barista – Manhattan, New York August 2019 – August 2020

• Increased operating efficiency by offering solutions to reoccurring problems

• Responsible for opening and closing the store and supporting team members to implement successful orders

• Established relationships with customers while providing excellent customer service University of the West Indies, St. Augustine September 2017 – December 2017 Demonstrator (the equivalent of Teaching Assistant (TA))

• Taught R programming language to undergrad students, which consisted of 30 students during a class period

• Reviewed statistics concepts from the lecture for students, which enabled students to obtain a better understanding of lecture topics

• Marked student transcripts for the lecturer and assisted with grade distribution Assistant Invigilator June 2017, December 2016 & 2017

• Assisted in the setup of examination facilities

• Aided in maintaining integrity during examinations for the professor, over a 3-week duration for a range of 50-500 students depending on the course

• Distributed and collected examination transcripts and materials Relevant Projects

Occupational Safety and Health Practices – COVID-19

• Remotely analyzed data for OSH health care system practices and COVID-19 in the different Regional Health Authorities

(RHA) in Trinidad & Tobago

• Assisted in the creation of questionnaire templates for interviewers based on the outputs of the analyzed data

• Used the data obtained to create visualizations

Article Search github.com/sahleone/Document-Search-COVID-19

• Implemented search methods to sort corpus of articles from medical journals

• Python; Latent Dirichlet allocation, Cosine Similarity, and a Keyword Search Email classification github.com/sahleone/Spam Detection

• Classified a corpus of emails as junk and not junk using multiple machine learning methods

• R; Random Forest, Multilayer Perceptron, Sparse Logistic Regression L1/L2 Fraud Detection

• Identified fraudulent credit card transactions in an unbalanced dataset with 248, 806 entries giving an F1 score of 0.84

• Successfully predicted credit card approvals with an accuracy of 85.4% Skills

• Data Science: Python, R, SQL, NumPy, Scikit-Learn

• Data Visualization: Tableau

• Natural Language Processing (NLP)

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