BOLADE VICTOR OLORUNTAYO

Conducted exploratory data analysis and managed data integrity through comprehensive data cleaning, identifying interesting insights for evidence-based decision-making.

Built a robust machine learning model in Python to accurately predict aggregate restaurant ratings based on various features.

Applied advanced data cleaning and analytical techniques to ensure high-quality data input for model development and predictive accuracy.

Executed a comprehensive genomic workflow for 10 *Streptococcus pneumoniae* clinical strains using the BV-BRC platform, identifying critical antimicrobial resistance (AMR) determinants and virulence factors.

Developed multidimensional heatmaps using R, correlating 30+ resistance genes with 15+ antibiotic classes to provide high-resolution insights into genotype-phenotype patterns.

Constructed Maximum Likelihood evolutionary trees with MEGA software, analyzing clonal divergence and identifying potential outbreak clusters among NCBI-sourced pneumococcal isolates.

Characterized functional mechanisms of multi-drug resistance (MDR), identifying high-intensity target alterations in *pbp* genes and efflux pump expression to predict clinical treatment failures.

Translated complex genomic datasets into actionable public health recommendations, focusing on implications of MDR strains for antibiotic stewardship and vaccine policy in resource-limited settings.

Deployed Power Query to clean and transform extensive disease outbreak datasets, ensuring data integrity and readiness for analysis.

Designed and created a comprehensive interactive PowerBI dashboard, effectively visualizing Key Performance Indicators (KPIs) and uncovering critical trends in disease outbreaks from 2009-2018.

Uncovered actionable insights and trends from complex datasets, supporting evidence-based decision-making for public health interventions.

Assisted over 10 final year students from diverse Nigerian universities with thesis research methodology and statistical analysis, teaching and conducting hypothesis testing (Student t-test, ANOVA, Chi-square).

Collaborated with an MSc student from the Open University of Nigeria on literature review and data collection, contributing to a comprehensive research project from April to June 2024.

Partnered with esteemed faculty members and fellow undergraduate students at the University of Benin, conducting research, literature reviews, and statistical analysis in 2023.

Independently analyzed undergraduate thesis data using Microsoft Excel and SPSS, delivering actionable insights and supporting academic conclusions in September 2023.

Initiated and led the Abuja Teens Conference, providing mentorship, career development, and skill acquisition opportunities for young individuals.

Engaged stakeholders across 22 schools, securing approvals and participation from 265 students across 14 secondary schools.

Directed end-to-end event execution, including stakeholder coordination, speaker management, and comprehensive logistics, ensuring a successful conference on February 28, 2026.

Coordinated Koinonia activities, enhancing fellowship and community engagement for over 100 members from 2021-2023.

Organized and facilitated weekly meetings and special events, promoting spiritual growth and communal bonding within the campus fellowship.

Contributed to the strategic planning and execution of fellowship programs, supporting leadership initiatives and member development.

Led and managed a team of 15+ musicians and vocalists, coordinating rehearsals and performances for weekly services and special events from 2019-2022.

Developed and implemented musical programs that enriched the worship experience for over 200 fellowship members.

Mentored and trained new musicians, improving overall musical quality and fostering talent development within the fellowship.