Oluwaseun O. Mesele
KANSAS CITY,MO
Summary
Results-driven and inquisitive professional with 10+ years of experience turning complex data into actionable intelligence, leading cross-functional teams, and driving high-stakes problem-solving. Known for a dedication to task completion and a solutions-first mindset that evolves ideas into practical strategies. Proven record of delivering measurable impact, from saving millions in operational costs through fab innovations to cutting process time from 5 days to 3 hours with optimized data systems. Adept at bridging technical and non-technical groups, building trust, and guiding teams to smart, evidence-driven decisions. Recognized as a team player who gets along with everyone, an analytical thinker, and a persistent problem solver who thrives in mid-sized organizations where intelligence and strategy shape business outcomes.
Overview
13
13
years of professional experience
Work History
Software Research Engineer/Scientist
Intel Corporation
10.2022 - Current
- Partnered with the Reticle Enhancement Technology team to develop next-gen semiconductors, delivering a 20% performance boost through advanced computational modeling and machine learning.
- Solved a critical fab issue by designing a novel solution that saved millions in materials costs, ensuring project continuity and efficiency.
- Led cross-departmental investigations into process liability, identifying root causes and recommending scalable solutions adopted company-wide.
- Mentored and coached new engineers, fostering a collaborative problem-solving culture and accelerating team onboarding.
Senior Data Science Advisor (Decision Sciences)
Dell Technologies
08.2021 - 09.2022
- Rebuilt and streamlined legacy code, reducing processing times from 5 days to under 3 hours, vastly improving productivity and decision-making speed.
- Conducted model competitions to select optimal ML models for global sales forecasting, improving accuracy of quota alignment across regions.
- Backtested out-of-scope regions and integrated them into ML framework, expanding applicability and improving forecasting coverage.
- Built and deployed an API for automated sales quota management, reducing manual effort and enabling agile adjustments.
- Mentored junior data scientists in coding best practices and peer review, strengthening overall team output and reliability.
Process Engineer
Intel Corporation
09.2018 - 08.2021
- Directed a cross-functional team of engineers to qualify new fab equipment, moving it from concept to full production, boosting capacity and yield.
- Chaired a Productivity Working Group that cut technician time spent on repetitive tasks, freeing resources for higher-value work.
- Created Python and SQL scripts to quickly identify process failures and trends, improving troubleshooting efficiency by 30%.
- Owned and maintained process health dashboards, standardizing performance monitoring and training staff on data-driven best practices.
- Applied model-based problem solving (MBPS) to design experiments that uncovered and resolved persistent process bottlenecks.
Postdoctoral Researcher
Center for Sustainable Nanotechnology, Univ of WI & Boston Univ
08.2017 - 09.2018
- Mentored incoming Ph.D. students, improving research onboarding and lab productivity.
- Investigated nanoparticle interactions with lipid bilayers, uncovering mechanisms that influence environmental and biological impacts of engineered nanomaterials.
- Advanced understanding of binding interactions and bilayer fluidity, contributing to published research on nanoscale environmental effects.
Graduate Research & Teaching Assistant
Univ of KS
01.2013 - 08.2017
- Developed a new computational methodology that reduced experiment processing time significantly, accelerating research cycles.
- Pioneered predictive models for hydroxyl coupling constants and vibrational spectra, shaping new approaches in theoretical chemistry.
- Supervised graduate researchers, providing technical guidance and feedback to improve output quality.
Education
Ph.D. - Physical (Theoretical) Chemistry
University of Kansas
Master of Business Administration - undefined
Imperial College (London)
Master of Science - Physical Organic Chemistry
Cardiff University
Bachelor of Science - Industrial Chemistry
University of Lagos
Skills
- Strategic Problem Solving & Decision Support, Data Analysis, Visualization, & Forecasting, Machine Learning & Predictive Modeling, Process Optimization, Computational Modeling, Intelligence Gathering & Reporting, Stakeholder Communication, Cross-Functional Team Leadership, Project & Program Management, Business Analytics, Operations Strategy, Python, SQL, FORTRAN, MATLAB, C, JMP, UNIX OS, Bash Scripting, Model-Based Problem Solving, Pandas, Numpy, SparkML, Scipy, Scikit-learn, Seaborn, Plotly, Matplotlib, Folium, Foursquare, Tableau, Recommender Systems, PCA, Supervised Learning (kNN, SVM, Linear Regression, Logistic Regression, Random Forest, Gradient Boosted Trees), Unsupervised Learning (k-Means Clustering, Hierarchical Clustering, DBSCAN), Organizational Behavior, Accounting, Strategy, Corporate Finance, Managerial Economics, Marketing Management, Operations Management, Digital Technologies and Digital Transformation
Timeline
Software Research Engineer/Scientist
Intel Corporation
10.2022 - Current
Senior Data Science Advisor (Decision Sciences)
Dell Technologies
08.2021 - 09.2022
Process Engineer
Intel Corporation
09.2018 - 08.2021
Postdoctoral Researcher
Center for Sustainable Nanotechnology, Univ of WI & Boston Univ
08.2017 - 09.2018
Graduate Research & Teaching Assistant
Univ of KS
01.2013 - 08.2017
Master of Business Administration - undefined
Imperial College (London)
Master of Science - Physical Organic Chemistry
Cardiff University
Bachelor of Science - Industrial Chemistry
University of Lagos
Ph.D. - Physical (Theoretical) Chemistry
University of Kansas