David Gboyega Adepoju
Lafayette
Summary
Analytical professional with expertise in statistical analysis, recognized for exceptional productivity and efficiency. Proficient in data interpretation, predictive modeling, and statistical software, driving impactful insights. Strong problem-solving abilities and effective communication skills enhance teamwork and project success.
Overview
5
5
years of professional experience
Work History
Statistical Consultant / Graduate Teaching Assistant
University of Louisiana at Lafayette
Lafayette
01.2020 - 05.2025
- Provided statistical consulting for over 25 graduate-level research projects involving hypothesis testing, regression, survey analysis, and experimental design.
- Instructed over 450 students across courses in statistics, probability, and applied mathematics.
- Develop and lead effective presentations for small groups.
- Analyzed complex data sets for research projects and academic studies.
Data Analyst Intern
Stuller Inc.
Lafayette
06.2022 - 08.2022
- Engaged with cross-functional teams to analyze and improve production line efficiency utilizing regression and time-series analysis.
- Reduced product inspection time by 25% by implementing sampling techniques and Statistical Process Control (SPC) techniques.
- Cleaned and transformed large data sets using SQL and R for analysis; produced actionable insights that improved manufacturing accuracy by 20%.
- Built interactive Tableau dashboards for operations managers to monitor quality metrics in real time.
- Developed reports using Excel to visualize inventory and sales performance metrics.
Education
Ph.D. - Mathematics, Statistics Concentration
University of Louisiana At Lafayette
Lafayette, LA05.2025
Master of Science - Mathematics, Statistics Concentration
University of Louisiana At Lafayette
Lafayette, LA12.2022
Master of Arts - Statistics
Marshall University
Huntington, WV12.2019
Bachelor of Science - Statistics
Federal University of Agriculture
Abeokuta, Nigeria01.2014
Skills
- Programming
- SQL
- SPSS
- SAS
- Statistical methods: Data cleaning and hypothesis testing
- Optimization and predictive modeling
- Documentation: Microsoft Office Suite, LaTeX
- Critical thinking
- Statistical methods
- Database management
- Data interpretation
- Quantitative risk analysis
- Continuous learning mindset
- Advanced statistical analysis
- Tableau data visualization
- R programming expertise
- Python
- Bayesian methods and generalized linear models
- Experimental design and reliability analysis
- Statistical process control and categorical data analysis
Accomplishments
• Exploratory Factor Analysis: Analyzed IBM insurance customer data with 9,134 observations and 24 variables, performed data cleaning, predictive analysis, and visualization to provide actionable insights. Conducted inferential and descriptive analysis, predicted customer behavior, and improved retention.
• Statistical Modeling: Employed statistical methods and data visualization techniques to explore factors in high-dimensional data, providing valuable insights. The data was cleaned and joined using SQL. Developed a logistic regression model for binary classification and estimating the probability of an outcome.
Accomplishments
- Black Faculty and Staff Academic Excellence Award Fall 2023 and Spring 2025
University of Louisiana at Lafayette – Recognized for outstanding academic achievement.
Immigration Status
Permanent Resident (Green Card Holder): Eligible for full-time employment in the United States without sponsorship.
Timeline
Data Analyst Intern
Stuller Inc.
06.2022 - 08.2022
Statistical Consultant / Graduate Teaching Assistant
University of Louisiana at Lafayette
01.2020 - 05.2025
Ph.D. - Mathematics, Statistics Concentration
University of Louisiana At Lafayette
Master of Science - Mathematics, Statistics Concentration
University of Louisiana At Lafayette
Master of Arts - Statistics
Marshall University
Bachelor of Science - Statistics
Federal University of Agriculture
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