Summary
Overview
Work History
Education
Skills
Certification
Research
Researchinterests
Posterpresentation
Awards
Volunteer Experience
Additional Information
Timeline
Generic
Oluwaseun Elizabeth

Oluwaseun Elizabeth

Augusta,GA

Summary

Dynamic Senior Data Scientist with expertise in building predictive models and conducting deep data analysis. Spearheaded a project that optimized supply chain operations, resulting in a 15% reduction in inventory costs. Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in [Area of expertise].

Overview

7
7
years of professional experience
1
1
Certification

Work History

Data Scientist Sr.

Textron Specialized Vehicles
01.2023 - Current
  • Achievements
  • Collaborated with cross-functional teams to identify and prioritize data needs, resulting in a 25% improvement in data accessibility and usability.
  • Implemented a novel data preprocessing technique, reducing data cleaning time by 40% and increasing model accuracy by 12%.
  • Implemented a semi-supervised learning approach for data labeling, reducing labeling costs by 50% and enabling the use of a larger dataset.
  • Optimized hyperparameters of a neural network using Bayesian optimization, achieving a 10% improvement in accuracy compared to manual tuning.
  • Proactively identified and resolved issues that can impact the project final outcomes through effective troubleshooting, summarizing findings, and proposing solutions
  • Collaborated closely with internal team members to address challenges and optimize processes.
  • Cultivated and sustained trusted relationships with information managers, solution architects, and business units for data preparation efforts.
  • Designed and implemented an anomaly detection system using unsupervised learning, detecting critical issues in real-time and preventing potential system failures.
  • Generated and communicated analytical and technical insights of key business objectives effectively through visualization and reporting tools, including Microsoft Power BI, Python, PowerApps, and R Markdown
  • Ensured that insights were presented in a clear, concise, and actionable manner to drive informed decision-making.
  • Key Achievements
  • Leveraged advanced data science expertise and a deep understanding of business contexts to evaluate and integrate cutting-edge technologies in reporting, statistical analysis, and machine learning:
  • As a Data Scientist, a groundbreaking application was innovatively built for the company, the first of its kind globally
  • This app revolutionizes daily operations by enabling the tracking of some metrics.
  • Developed a user-friendly application using Power Apps to streamline and centralize support request processes within the department
  • The app efficiently accepted and managed requests from various team members, enhancing the resolution of analytical problems
  • This initiative resulted in a 95% increase in response time and significantly improved overall departmental efficiency.

Research & Graduate Teaching Associate

University of South Florida
08.2017 - 12.2022
  • Conducted reliability analysis by proposing a Bayesian approach for a general degradation path model with mixed effects (Multivariate analysis) using accelerated degradation data
  • The model aims to provide manufacturers with a better understanding of the products' reliability performance throughout the entire service life.
  • Designed a novel model utilizing the [penalized log partial likelihood function] to analyze high-dimensional datasets
  • The objective was to identify variables contributing to the survival rates of patients with conditions such as cancer and heart failure.
  • Built comprehensive frameworks, including collection, model-checking diagnostics, analysis, and reporting
  • Devised techniques to maximize the usefulness of steel ball bearings.
  • Applied convolutionary neural network to a cooking state image dataset, proposing a model to recognize and classify the state of cooking objects.
  • Conducted principal component analysis to reduce data dimensionality, identify patterns, and highlight the most significant variables in datasets.
  • Instructed and tutored 300 undergraduate students annually in Statistics and Mathematics, resulting in a 20% increase in students' grade point averages.

Education

Ph.D., Statistics -

University of South Florida (USF)
Tampa, FL
12.2022

M.A., Statistics -

Marshall University
Huntington, WV
07.2017

B.S., Statistics -

Federal University of Agriculture Abeokuta
01.2014

Skills

  • Presented comprehensive analyses of research papers to researchers and peer groups, fostering in-depth discussions on data-driven insights and methodologies, resulting in actionable recommendations and positive feedback
  • Instructed multiple undergraduate courses, including Introduction to Statistics, demonstrating excellent communication and teaching abilities by making complex statistical concepts understandable to a non-statistical audience
  • Python Programming
  • Machine Learning
  • SQL Databases
  • Statistical Analysis
  • Neural Networks
  • R Programming
  • Big Data Analytics
  • Data Mining
  • Business Forecasting
  • Optimization Techniques
  • Probability Theory
  • Data operations
  • Data Exports
  • Data science research methods

Certification

Applied Business Analyst, 05/2023, 07/2023, MIT Management Executive Education, Cambridge, MA

Research

  • Stochastic modeling and forecasting of Covid-19 deaths: Analysis for the fifty states in the United States.
  • An efficient approach to distributions fitting with R (January 22, 2021). Available at SSRN: https://ssrn.com/abstract=3771365 or http://dx.doi.org/10.2139/ssrn.3771365, 2021
  • Iterative Algorithm for Approximating Solutions of Split Monotone Variational Inclusion, Variational Inequality and Fixed-Point Problems in Real Hilbert Spaces. Nonlinear Functional Analysis and ApplicationsVol. 25, No. 3 (2020), pp. 491-510ISSN: 1229-1595(print), 2466-0973(online), 2020
  • Survival Analysis of Multiple Myeloma Cancer Using the Cox-PH Model, 2020
  • Classification of object states using VGG Neural Network. Semantic Scholar, 2019
  • The Pareto-g Extended Weibull Distribution. Theses, Dissertations, and Capstones. 1106. https://mds.marshall.edu/etd/1106, 2017

Researchinterests

  • Predictive Modeling and Machine Learning
  • Data Ethics and Bias Mitigation
  • Time Series Analysis
  • Multivariate Analysis

Posterpresentation

Otunuga Oluwaseun Elizabeth. A Case of the Pareto-G Extended Weibull Distribution. International Conference on Statistical Distributions and Applications, Marshall University, Huntington, WV. October 13-15, 2022

Awards

  • Problem Solver of The Month, 06/2023, Textron Specialized Vehicles, This award is geared towards Textron Specialized Vehicles workers for their outstanding efforts and diligence. Additionally, a certificate was awarded as a testament to my worthy contributions and excellent applications of Textron's standards and values.
  • Recognition Certificate for Professional Development, 04/2024, Textron Specialized Vehicles, Awarded for successfully completing courses aimed at improving company processes and enhancing overall efficiency. Demonstrated commitment to continuous learning and professional growth.
  • Recipient of Tharp Endowed Award for outstanding students, 01/2020 - 12/2022, University of South Florida, The Tharp Award is geared toward teaching assistants who demonstrate outstanding progress toward pursuing their degree.

Volunteer Experience

Graduate Mentor, Stem Academy program, 07/2020, 08/2020, University of South Florida, Tampa, FL

Additional Information

CERTIFICATIONS Applied Business Analyst May 2023 - July 2023
MIT Management Executive Education Cambridge, MA
• Conducted extensive research to identify industry-leading best practices in data
analytics process management.
• Analyzed case studies, academic literature, and expert insights to gain a deep
understanding of successful approaches.
• Identified critical points of interaction and collaboration to facilitate efficient
coordination among team members and departments.
• Developed mechanisms to streamline the exchange of data, information, and in-
sights, reducing bottlenecks and delays.
• Regularly monitored and evaluated the performance of the data analytics process
management to identify areas for improvement.
VOLUNTEER
ACTIVITIES
Graduate Mentor, Stem Academy program July 2020 - August 2020
University of South Florida Tampa, FL
• Coached and mentored 50 undergraduate students and inspired them to consider
graduate school




AWARDS • Problem Solver of The Month June 2023
Textron Specialized Vehicles Augusta, GA
– This award is geared towards Textron Specialized Vehicles workers for their
outstanding efforts and diligence.
– Additionally, a certificate was awarded as a testament to my worthy contri-
butions and excellent applications of Textron’s standards and values.
• Recognition Certificate for Professional Development April 2024
Textron Specialized Vehicles Augusta, GA
– Awarded for successfully completing courses aimed at improving company
processes and enhancing overall efficiency.
– Demonstrated commitment to continuous learning and professional growth.
• Recipient of Tharp Endowed Award for outstanding students Jan 2020
- Dec 2022
University of South Florida Tampa, FL
– The Tharp Award is geared toward teaching assistants who demonstrate
outstanding progress toward pursuing their degree.
RESEARCH
EXPERIENCE/
PUBLICATION
• Stochastic modeling and forecasting of Covid-19 deaths: Analysis for
the fifty states in the United States.
• An efficient approach to distributions fitting with R (January 22,
2021). Available at SSRN: https://ssrn.com/abstract=3771365 or
http://dx.doi.org/10.2139/ssrn.3771365 2021
• Iterative Algorithm for Approximating Solutions of Split Monotone
Variational Inclusion, Variational Inequality and Fixed-Point Prob-
lems in Real Hilbert Spaces. Nonlinear Functional Analysis and Ap-
plicationsVol. 25, No. 3 (2020), pp. 491-510ISSN: 1229-1595(print),
2466-0973(online) 2020
• Survival Analysis of Multiple Myeloma Cancer Using the Cox-PH
Model 2020
• Classification of object states using VGG Neural Network. Semantic
Scholar 2019
• The Pareto-g Extended Weibull Distribution. Theses, Dissertations,
and Capstones. 1106. https://mds.marshall.edu/etd/1106 2017
Poster
Presentation
Otunuga Oluwaseun Elizabeth. A Case of the Pareto-G Extended Weibull Distri-
bution. International Conference on Statistical Distributions and Applications, Mar-
shall University, Huntington, WV. October 13–15, 2022

Timeline

Data Scientist Sr.

Textron Specialized Vehicles
01.2023 - Current

Research & Graduate Teaching Associate

University of South Florida
08.2017 - 12.2022

Ph.D., Statistics -

University of South Florida (USF)

M.A., Statistics -

Marshall University

B.S., Statistics -

Federal University of Agriculture Abeokuta

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