Business intelligence across multiple datasets.
USC Marshall School of Business
Master of Science
Jasmine Bahremand
Business Analytics (STEM)
Data Analytics • Machine Learning • Business Intelligence • Product Strategy
I transform complex business data into strategic insights that support smarter decisions, stronger performance, and measurable impact.
Open to opportunities
Business Analytics · Data Analytics · Strategy
End-to-end business and technical analysis.
Revenue growth and performance analysis.
Technical and analytical expertise.
USC Marshall
M.S. Business Analytics (STEM)
About Jasmine
Turning complex data into clear business decisions.
I am a business analytics professional with a Master of Science in Business Analytics (STEM) from the USC Marshall School of Business. My work combines data analysis, machine learning, business intelligence, marketing analytics, and consumer research to help organizations make smarter decisions.
I enjoy working at the intersection of business and technology. I use SQL, Python, Tableau, Power BI, Excel, statistical modeling, and machine-learning techniques to uncover patterns, measure performance, and translate technical findings into practical recommendations for business leaders.
My experience includes predictive pricing, revenue analysis, campaign performance, customer segmentation, sustainability research, and operational process improvement. I am especially interested in roles where analytics can improve customer experience, profitability, marketing performance, and business strategy.
Professional Focus
Business Analytics
Featured Case Studies
AI · Operations
SmartStack AI
AI-powered warehouse optimization designed to reduce loading errors and create measurable operational value.
Projected $12M ARR opportunity
SQL · Business Intelligence
Parch & Posey
Acquisition analysis evaluating revenue, regional sales efficiency, customer concentration, and investment risk.
$23.1M in lifetime revenue analyzed
Consumer Research
Sustainability Research
Mixed-method research measuring whether sustainability messaging changes purchase behavior and consumer intent.
Survey, regression, segmentation, and A/B testing
Machine Learning
Predictive Pricing
Predictive models designed to estimate insurance claim likelihood and support improved pricing strategy.
Model interpretation with SHAP
Content Analytics
Spotify Analytics
Analysis of audio features, playlist placement, seasonality, and content performance using data modeling.
Predictive and exploratory content insights
Technical Expertise
Tools for turning data into decisions.
Analytics & Modeling
- Regression
- Classification
- Clustering
- Factor Analysis
- A/B Testing
- Forecasting
Programming & Tools
- Python
- SQL
- Pandas
- Scikit-learn
- LightGBM
- SHAP
Business Intelligence
- Tableau
- Power BI
- Excel
- Dashboard Design
- KPI Analysis
- Data Storytelling
Business Strategy
- Consumer Research
- Segmentation
- Product Strategy
- Go-to-Market Strategy
- Financial Modeling
- Stakeholder Communication
Professional Experience
Connecting analytics, marketing, and operations.
March 2023 – August 2024
Paid Social Content Producer
Narrative Ads · Pasadena, California
Evaluated campaign performance across consumer brands, analyzed engagement and conversion data, and supported creative optimization using CTR, CPA, and ROAS.
June 2022 – March 2023
People Operations Coordinator
Meaningful Works · Los Angeles, California
Built operational tracking systems, analyzed sustainability performance, and helped improve reporting and decision-making workflows.
Education
USC Marshall School of Business
May 2026
Master of Science in Business Analytics (STEM)
University of Southern California, Marshall School of Business
Honors: Dean’s ListMay 2022
Bachelor of Science in Business Administration
Emphasis in Marketing · Minor in Psychology
Honors: Magna Cum Laude
Let’s Connect
Ready to create data-driven impact.
Open to full-time opportunities in business analytics, data analytics, consumer insights, business intelligence, and product strategy.