Projects

Grad Program Projects

Data Analytics: Predictive Analytics (Decision Tree Project) by using Altreyx

Course Instructor: Professor Katia Guerra

Identify the key factors influencing employee attrition.
Develop a predictive model to help the company proactively manage turnover.
Employ decision tree modeling techniques.
Compared two models

Albertsons Process Improvement (SCM)

Course Instructor: Professor Tracie Lee

High-Volume & Space Constraints: Evaluated operational flow at Albertsons’ smallest distribution center (220 sq. ft.) serving the highest store count in the network to identify layout and bottleneck remedies.
Manual Palletization Inefficiencies: Analyzed root causes of high labor strain, delays, and employee downtime (e.g., waiting on MEC processing) caused by manual picking and pallet-building processes.
Paper-Based Process Bottlenecks: Addressed legacy scanning and workflow delays by evaluating modern tech implementations, such as hands-free finger scanners and automated sorter systems.
Strategic Recommendations: Developed layout adjustments, overnight inventory pre-staging strategies, and process standardization proposals to balance employee workloads and improve throughput.

Consumer Research Study | Marketing Project

Designed and deployed a Qualtrics survey using structured and price-sensitivity measures. Collected 220 responses (exceeding the 150 target) through in-person convenience sampling at Boise State’s Student Union Building. Ensured anonymous participation and boosted engagement through incentives. Analyzed data using Excel and Tableau, applying descriptive statistics, segmentation, and data visualization techniques to uncover actionable insights.

Course Instructor: Professor Anne Hamby

Key Findings:

Ideal price point: $10–$14
149 of 220 respondents expressed purchase interest
Top purchase driver: Creativity & craftsmanship
Most desired themes: Albertson’s Stadium & BSU “B” Logo
Primary occasions: Graduation (strongest demand)
Main recipients: Friends and family

Statistics & Business Analytics Project

Applied key analytical concepts to a company-based project, working hands-on with real-world business data from Kahu Pest Control.

Course Instructor: Professor Tracie Lee

Our focus:

Analyzing business operations & financial performance
Identifying revenue patterns and insights
Translating data into actionable business strategies

Academic Projects

190061103, 190061126.pdf

Marketing Project

Utilized various elements of product strategy and branding principles across multiple products at Partex Ltd., enabling us to vividly illustrate each concept throughout the duration of the course.

Business Project

Created an e-commerce platform on a social network to explore customer purchasing patterns related to frozen food products. The name of my online endeavor was Dipty’s Kitchen.

190061103, 190061126.mp4

Online Video Commercials

Developed an Online Video Commercial (OVC) for Partex Door as part of our Marketing Course, with an emphasis on leveraging video content for product or service promotion.

Data Analytics- “Netflix”

Data-driven Decision Making & Use of Data Analytics- “Netflix”: The profound influence of employing data-centric decision-making, which molds operational procedures, marketing tactics, and user interactions by harnessing data via SQL extraction and visualizing insights through dashboards.