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Data Analyst Intern

Location:
Meridian, ID, 83642
Posted:
February 04, 2023

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Resume:

MIKAELA MAZEY

208-***-****

adu468@r.postjobfree.com

EDUCATION & SKILLS

Bachelor of Science in Data Science 2016 - 2021

Brigham Young University – Idaho Rexburg, ID

• 3.8 GPA

• Experience with R (ggplot2), Python (pandas, scikit-learn), Tableau, SQL, Alteryx, HTML, CSS, PHP, Excel, Word, PowerPoint, Snowflake

• Related Coursework: Object Oriented Programing, Data Wrangling & Visualizations, Database design and development, Linear Regression, Logistic Regression, Machine Learning and Data Mining, Business Intelligence and Analytics, Design Thinking, Time-Series Forecasting

EXPERIENCE

Data Analyst, Suds Creative Dec. 2021 – Present

Suds Creative, being a marketing firm, delivers revenue optimization strategies to revolutionize the car wash industry

• Extracted necessary data for specific needs using firebirdSQL and ODBC connections

• Worked closely with company leadership to create insights for clients through ad hoc reporting and analysis

• Assisted with predicting clientele revenue projections through neural network

• Completed pricing strategies to capture more revenue

• Accomplished potential site analyses and revenue predictions as investments for clients

• Created Alteryx workflows to aggregate and manipulate data to answer business questions

• Commonly used R, Python, Tableau, Snowflake and Excel to clean data Data Analyst Intern, Category Partners LLC Apr. 2021 – July 2021 Category Partners LLC provides accurate and actionable analysis within the fresh meat, deli, dairy, and produce industries.

• Imported data through complex data portals

• Cleaned (using Alteryx) and visualized (using Tableau) data for produce industry clients

• Thrived on individual projects, producing results through visualizations created in Tableau

• Communicated with clients on weekly basis

• Projected trends in produce for the next 10 years using Linear Regression DATA SCIENCE PROJECTS

Bank Account Loyalty Prediction Project Jan. 2021 – April 2021

• Directed this project by making weekly goals and tasks

• Gathered historical bank customer data to analyze

• Used kNN algorithm and a decision tree to predict whether a customer would leave their bank based off personal information (in Python) Historical NBA data to predict Championships Project Sept. 2020 – Dec. 2020

• Found past NBA data for previous wins per game, number of losses, number of players, number of three pointers, etc.

• Predicted future champions through neural network (in Python)



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