Data Analyst Manager

Brittany West

adcl7g@r.postjobfree.com 480-***-**** Provo, UT

EDUCATION

Brigham Young University December 2019

Bachelor of Science in Statistics, Emphasis in Data Science Provo, UT Mu Sigma Ro – National Honors Society

TECHNICAL SKILLS

Programming: R, SQL, Python, Git, Linux, C++, SAS

Statistical Analysis: Regression, Classification, A/B Testing, ANOVA/ANCOVA, Time Series, ARIMA Reporting: Tableau, R Markdown, Mode

EXPERIENCE

Thumbtack – Operations Data Analyst May 2019 – Mar 2020 o Implemented and strategized statistical tests analyze and compare variants of email and in-product campaigns leading to lifts in top-level metrics from 3%-5%

o Engineered SQL scripts to support ETL pipelines from third party platforms like salesforce to production analytics tables

o Developed logistic regression models to identify key drivers in customer retention o Designed and Visualized top-level KPIs and reports for business leaders using Tableau, Mode, R Markdowns Thumbtack – Data Analyst Intern May 2019 – Dec 2019 o Mastered the SQL language and Tableau visualization o Engineered production analytics data tables used by multiple business leaders o Built and presented several operational dashboards to track top-level KPIs using Tableau, mode, R Markdowns

Moyo Solar (BYU Y-Prize Competition) – Entrepreneur Aug 2018– May 2019 o Strategized and presented business model to 6 different Investors and acquired $2000 to start Moyo Solar o Produced a viable and working Business start up that brought in $800 profit in the first quarter o Communicated diligently with overseas manager in Malawi, Africa in order to supply and transport goods Brigham Young University – R Programming TA Jan 2018 – May 2019 o Helped over 100 students learn R by teaching them statistical concepts without relying on technical jargon o Assisted in grading over 400 assignments

o Develop skills in students such as: Creating objects, utilizing functions, cleaning and organizing big data, Analyzing big data with visual data analysis (graphs, models, and reports) PROJECTS

Pokémon API & Predictions – API communication + deep learning to classify wins and losses Communicated with a Pokémon API through authentication keys to capture key features for predicting wins and losses using Support Vector Machines for model training. Grade Predictions & Student Classification – 1st place in class (with the highest performance RMSE of .98) Cleaned and Engineered hundreds of features to train the data and answer research questions. We applied feature importance and leave out methods to understand how the models changed or better performed. We tested 3 regression models (Random Forest, Lasso, PCA) and 3 classification models (Logistic, KNN, Random Forest).