Data Science, Mathematics, Analyst

Julianna Cybrynski

**** ***** ***** *** *******, NC 27614 919-***-**** ********.*********@*****.***

University of North Carolina at Chapel Hill

B.S. in Statistics and Data Analytics, Minor in Mathematics

Senior: Expected graduation May, 2021

Relevant Coursework: Intro to Programming, Calculus, Multivariable Calculus, Linear Algebra, Machine Learning, Data Science, Decision Models for Business and Economics, Data Models and Inference, Discrete Mathematics, Data Analysis, Special Topics in Actuarial Science: Healthcare Risk Analytics, Probability, Stochastic Modeling, Optimization, Decision Analytics, Differential Equations, Advanced Methods of Data Analysis, Sports Analytics

Exams: Scheduled to take actuary exam P in Spring 2021

Summer Research 2020

Team analyzed calcium image and MRI image data to create a neural network to detect and clearly define the location of active synapses in the brain using python.

Colorado Hiking Analysis 2020

Team analyzed data for different hiking trails in Colorado in order to create a predictive model for which trails would best suit different types of hikers using regression models and machine learning techniques, such as best subsets selection and logistic regression.

Fake Job Posting Detection 2020

Team created a model for classifying whether or not a job posting was fake by implementing various machine learning algorithms using both R and python: 97.6% accuracy.

Duke Datathon 2019

Team placed top 8, built regression models with R and Python to analyze relationship between a consumer’s long term and short term interest in product categories and predict conversion potential based on interest level.

HackNC 2019 (https://devpost.com/software/pocket-shop-5793tp)

Team placed first in “Best Real Life Application”, won $300 in prizes; used NLP on clothing reviews and time series modeling on sales data to predict future sales and gain insight on consumers, result was an Android app for shop owners.

Actuarial Consulting for Durham Arts 2019

Team analyzed data in excel in order to determine if the self-funded business should remain with the current health insurance vendor or switch; analyzed projected claims with current carrier, compared competing network financials, proposed a plan, and analyzed employee contributions.

Actuarial Consulting for Mutual RE 2019

Team analyzed data in excel in order to determine if Mutual RE should remain fully insured or go self-funded; assessed the fully insured renewal, provided new plan designs, summarized potential for self-funding, and evaluated stop loss bids.

Marsh and McLennan – Actuarial and Operations Internship – Summer 2020

Class Half Full – Math Tutor - 2019 - present

MidiCi Neapolitan Kitchen – Barista and bartender - July 2018 – May 2019

•Head Coach - Rainbow Soccer League – 2019 - present

•UNC SOAR – A mentoring program for tutoring middle schoolers in science and math – 2018 - present

•Carrboro Yoga Company – Volunteer staff member – 2018-present

EDUCATION

PROJECTS

Technical Skills: R, JavaScript, TypeScript, CSS, Python, AMPL, HTML, Microsoft Excel, SQL, G-Suite

Non- Technical Skills: Proficiency in Spanish, Classically Trained Artist, Coaching, Teamwork, Leadership

A

SKILLS and QUALIFICATIONS

WORK HISTORY

VOLUNTEER WORK

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