
MSBA Candidate — USC Marshall School of Business
Hello, I'm Corinne Bish
MSBA candidate at USC Marshall with experience in data analytics, machine learning, and statistical modeling. I'm passionate about using data to uncover insights and support better business and energy-related decisions.
info@corinnebish.com
About Corinne
I'm an MSBA candidate at USC Marshall specializing in data analytics, statistical modeling, and machine learning. Experienced in Python, SQL, and data visualization tools including Tableau and Power BI. Interested in applying advanced analytics to solve business problems and drive data-informed decision making.
Skills & Expertise
I'm an MSBA candidate at USC Marshall specializing in data analytics, statistical modeling, and machine learning. Experienced in Python, SQL, and data visualization tools including Tableau and Power BI. Interested in applying advanced analytics to solve business problems and drive data-informed decision making.
Python
Experienced using R for statistical analysis and data exploration, applying packages and analytical techniques to evaluate trends, relationships, and patterns within complex datasets.
SQL
Experienced using R for statistical analysis and data exploration, applying packages and analytical techniques to evaluate trends, relationships, and patterns within complex datasets.
Machine Learning
Experienced using R for statistical analysis and data exploration, applying packages and analytical techniques to evaluate trends, relationships, and patterns within complex datasets.
R Programming
Experienced using R for statistical analysis and data exploration, applying packages and analytical techniques to evaluate trends, relationships, and patterns within complex datasets.
Tableau
Experienced using R for statistical analysis and data exploration, applying packages and analytical techniques to evaluate trends, relationships, and patterns within complex datasets.
Power BI
Experienced using R for statistical analysis and data exploration, applying packages and analytical techniques to evaluate trends, relationships, and patterns within complex datasets.
Data Visualization
Experienced using R for statistical analysis and data exploration, applying packages and analytical techniques to evaluate trends, relationships, and patterns within complex datasets.
Forecasting & Predictive Analysis
Experienced using R for statistical analysis and data exploration to identify trends, relationships, and patterns within complex datasets.
Data Cleaning & Preparation
Experienced using R for statistical analysis and data exploration, applying packages and analytical techniques to evaluate trends, relationships, and patterns within complex datasets.
Professional Experience
2024 - Present
Data Analyst Intern - Dreamline AI
Tucson, AZ
Interpreted complex energy and demographic data using segmentation and data mining techniques to uncover barriers to clean energy adoption. Designed and maintained data collection systems, cleaned and structured datasets, and produced Tableau and Excel visualizations that highlighted consumption patterns, demographic insights, and the impact of energy programs.
2017 - 2019
Design Thinking Intern - University of Arizona
Tucson, AZ
Education
2023 - Expected May 2026
University of Southern California, Marshall School of Business
Master of Science in Business Analytics
Los Angeles, CA
2020 - 2023
University of Arizona, Eller School of Business
Bachelor of Science in Business Administration
Tucson, AZ
● Major: Management Information Systems
● Minor: Psychology
● Honors/Awards: Dean's List (thrice), Dean's List Honorable Mention (thrice), and Eller Centurion (Top 100 Graduating Seniors)
Activities
Student Leadership & Mentorship
Served as an onboarding mentor and panelist for the MIS Spring 2023 cohort and as a Project SOAR mentor and tutor, supporting student development and academic success.
Professional Development
Completed the Intuit Externship, gaining exposure to industry practices in business analytics, technology, and problem-solving within real-world corporate environments.
Student Organizations
Experienced using R for statistical analysis and data exploration, applying packages and analytical techniques to evaluate trends, relationships, and patterns within complex datasets.