Summary

Lily (Lace) Grant is a Master of Science in Business Analytics (MSBA) student in Northern Virginia. With a strong foundation in marketing, she is leveraging her business expertise alongside her technical proficiency in analytics to drive data-informed strategies. Her data visualization, market research, and business strategy skills enable her to bridge the gap between technical insights and actionable business solutions. Lace is set to begin her career in federal consulting with Leidos, where she will bring her unique blend of analytical and strategic skills to the table.

Skills

Software and Technical Skills: Excel, Python, R, SQL, Tableau
Practical Skills: Business Strategy, Data Analysis, Data Modeling, Data Visualization, Financial Analysis, Market Research, Optimization, Product Management

Education

Master of Science in Business Analytics
William & Mary, Raymond A. Mason School of Business
Expected Graduation: May 2025

• Coursework: Stochastic Modeling, Database Management, Machine Learning, Optimization, Big Data, Artificial Intelligence
• Awards: Top 5 on MSBA Group Case Study (2024), Machine Learning Most Creative Solution & Approach Award (2024)

Bachelor of Business Administration in Marketing
William & Mary, Raymond A. Mason School of Business
Graduated May 2024

• Coursework: Business Intelligence, Market Research, Finance, International Business
• Awards: Sharpe Scholar, Charles Center Grant Recipient (2021)

Projects

Tracking Happiness: World Happiness Report 2024 January - February 2025

• Constructed several visualizations using data from the World Happiness Report 2024 to examine happiness scores across countries and continents
• Built an effective Tableau dashboard using thse visualizations

Don’t Skip Satisfaction: Leveraging User Skip Data to Enhance Spotify’s Personalization
October - December 2024

• Created a machine learning model to predict how likely an individual Spotify user is to skip a song based on genre, time of day, and other variables
• Prepared marketing recommendations utilizing this data, such as additions to Spotify Wrapped and personally tailored push notifications
• Most Creative Solution & Approach Award across 19 teams

“Medium Rare Chicken”: Tracking Salmonella Outbreaks in the U.S.
September - October 2024

• Using publicly accessible data from the CDC, created a database that tracks salmonella outbreaks in the United States by strain and type of venue
• Proposed recommendations to improve data tracking and accessibility for the CDC

Work Experience

Incoming Program Financial Analyst, Leidos
Start July 2025

Purchasing (Promotions) Intern, Lidl
May - August 2024

• Developed strategic recommendations for $5M USD campaign by analyzing sales data of 300+ products.
• Forecasted promotional and price reduction sales using regression analysis in R of 1,000+ products.
• Increased revenue per store through curating item selection and promotional offers using customer profiles and historical sales data.

Market Research Intern, La Tienda
September - December 2023

• Utilized generative AI technology and data scraping for market analysis, identifying 100+ potential clients and competitors
• Built a database of 100+ American specialty food e-commerce stores for future market penetration
• Conducted database manipulation for B2C food commerce and B2B digital application markets to create strategic recommendations