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Hi, I'm Damilola! 👋
Non-Linear Creative.
Lead Data Analyst
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About Damilola
My name is Damilola Oguntuyo. I am a graduate of Holy Cross College where I majored in Mathematics and Data Analysis. I bridge the gap between numbers and stories, turning raw datasets into actionable strategies.
My academic training has grounded me in statistical models, calculus, and quantitative theory, while my passion for technology drives me to build interactive data structures and visual tools.
- Education: B.S. Mathematics, Holy Cross College
- Focus: Statistical Analysis, Regression Models
- Philosophy: Visualizing equations helps reveal truth.
Interactive Toolbox! ✨
Skills & Stack
Click on any project below to explore the full analysis and methodology!
Mathematics
Data Analysis
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Experience
Lead Data Analyst
- Constructed predictive cohort models to forecast student demand in specialized mathematics courses.
- Analyzed a 5-year longitudinal dataset of department registrations to optimize course scheduling.
- Reported findings directly to department chairs, resulting in a 15% improvement in resource allocation.
Data Science Intern
- Developed automated data pipelines using Python (Pandas) and SQL.
- Assisted in building machine learning models for customer churn prediction.
- Created interactive Tableau dashboards for executive reporting.
Academic Excellence 🎓
Education & Achievements
B.S. in Mathematics
- Core Courses: Mathematical Statistics, Regression Analysis, Probability Theory, Linear Algebra, Advanced Calculus.
- Honors & Awards: Dean's List (All Semesters), Excellence in Statistical Analysis Award.
- Campus Leadership: President of Mathematics Honors Society, Mentor in Data Science Club.
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Featured Projects
1. Linear Regression Playground
Interactive model calculating line of best fit (Least Squares Method) in real-time. Drag the data points!
2. Holy Cross Academic Trends
A statistical analysis of department enrollments and major distribution over a 5-year college cohort.
3. Student Network Sentiment Analysis
Applied NLP and Network Analysis on student board archives to map campus-wide club engagement.