Oluwatomilayo Faloseyi

Motivated third-year Analytics major with expertise in optimization, statistical analysis, and programming. Proven ability to interpret, visualize and analyze complex data sets, enhancing decision-making processes. Proficient in statistical software, data mining, and predictive modeling techniques, leading to improved operational efficiency. Demonstrated success in identifying trends and streamlining data reporting.

Exploratory Analysis of Smoking Patterns with Respect to Age:

• Evaluated age-based smoking behavior by performing hypothesis testing using both Frequentist and Bayesian methods.
• Analyzed and visualized demographic data to uncover patterns in smoking habits across different age groups.
• Determined that the average age of smokers is likely above 60, which could be useful in providing statistical support for targeted health interventions.

Gene Expression Signatures of Survival in Ovarian Serous Cystadenocarcinoma: 

• Processed and standardized mRNA expression data from TCGA to prepare it for analysis.
• Applied PCA and trained Logistic Regression and SVM models to predict patient survival outcomes.
• Identified SVM as the most effective model, with high accuracy and precision, while reducing data dimensionality.

Monopoly Game Simulation in Java:

• Designed and built a Monopoly simulator using Test-Driven Development and Object-Oriented Design principles.
• Developed a variety of player strategies tailored to different in-game scenarios.
• Analyzed simulation results to compare strategy performance, revealing optimal tactics for specific situations.