Supply Chain Data Analytics

JACOB WINDHORST

Mesa, Arizona, ***** 480-***-**** (C) *****************@*****.*** LinkedIn

OBJECTIVE: Highly analytical professional with expertise in operations research, data modeling, and supply chain optimization. Adept at leveraging mathematical and statistical techniques to solve complex management problems, improve logistical systems, and enhance strategic decision-making. Seeking an Operations Research Analyst role at the Defense Logistics Agency to apply advanced quantitative methods in support of strategic objectives and operational excellence.

EDUCATION

Bachelor of Science in Applied Mathematics Arizona State University, Tempe, AZ • Aug 2015 – Dec 2019

Bachelor of Science in Statistics Arizona State University, Tempe, AZ • Aug 2015 – Dec 2019

Certifications

●Data Analytics, Springboard (Certificate) – Expected Sept 2024

●Data Analytics, Correlation One (Certificate) – May 2023

PROFESSIONAL EXPERIENCE

Richmond Public Schools • (Remote) Richmond, VA

Mathematics Tutor • Aug 2024 – Present

●Creating and providing self-made notes and visual proofs using Python and Matlab to aid understanding

●Regularly liaised with parents to provide updates and discuss developmental strategies.

●Supporting freshmen STEM students in enhancing their skills in Calculus and Linear Algebra

●Successfully improved the average grade of students from a 'C-' to a 'B+' over a semester.

Amazon Inc. – NACF ACES • Phoenix, AZ

Research and Configuration Specialist (ARC) • May 2021 – Dec 2024

●Developed predictive models using statistical techniques to optimize supply chain processes, improving efficiency by 5%.

●Conducted quantitative analyses to identify trends and anomalies in operational data, reducing error rates by 10%.

●Designed simulation tools to evaluate inventory strategies, supporting key performance indicator (KPI) alignment with organizational goals.

●Led cross-functional teams to assess and implement process improvements, enhancing resource utilization and compliance.

L4 Flow Lead / Team Lead • Sept 2020 – May 2021

●Performed detailed analyses of workflow systems to identify inefficiencies, achieving a 5% increase in operational throughput.

●Utilized data visualization tools to communicate findings and recommendations to senior leadership, driving data-informed decisions.

●Developed linear programming models to optimize resource allocation, reducing costs by 8%.

Chesterfield County Public Schools • Richmond, VA

Mathematics Teacher • Jan 2024 – Present

●Designed and implemented an advanced curriculum integrating financial modeling concepts to enhance problem-solving skills.

●Analyzed student performance data using statistical tools, identifying areas for targeted intervention and achieving a 20% improvement in outcomes.

●Managed projects incorporating blockchain-based auditing tools to ensure transparency and accuracy in performance evaluations.

Correlation One (Remote)

Data Analytics Fellow • Jan 2023 – May 2023

●Conducted operations research projects leveraging mathematical modeling and simulation to optimize resource allocation.

●Applied statistical analysis and decision theory to analyze public datasets, identifying cost-saving opportunities.

●Presented actionable insights using Tableau, ensuring effective communication of complex data to stakeholders.

Saint Vincent De Paul • Phoenix, AZ

Data Analyst Intern • Dec 2019 – Sept 2020

●Conducted cost/economic analyses to evaluate the efficiency of resource distribution systems, enhancing operational savings by 10%.

●Utilized probability theory to assess risks in supply chain operations, recommending actionable solutions to mitigate potential disruptions.

Arizona State University • Tempe, AZ

Student Research Assistant / Tutor • Aug 2015 – Dec 2019

●Conducted research in mathematical modeling and statistical methods, presenting findings at academic conferences.

●Tutored undergraduate students in applied mathematics and statistics, improving comprehension rates to 100%.

SKILLS

●Mathematical Modeling & Operations Research: Expertise in linear programming, simulation, and decision theory.

●Statistical Analysis: Proficient in Python, R, and Excel for statistical modeling, forecasting, and data-driven insights.

●Data Visualization: Skilled in Tableau for presenting actionable insights to diverse stakeholders.

●Supply Chain Optimization: Experience in inventory investment strategy, KPI alignment, and process improvements.

●Quantitative Methods: Knowledge of econometric analysis, probability theory, and simulation techniques.

●Collaboration & Communication: Adept at conveying technical concepts to cross-functional teams and decision-makers.

KEY QUALIFICATIONS

●Demonstrated success in designing and implementing mathematical models to improve supply chain processes.

●Proven ability to perform cost/economic analyses and optimize resource allocation strategies.

●Extensive experience applying quantitative methods to enhance operational efficiency and support strategic objectives.

●Expertise in preparing detailed study plans and recommendations for complex operational challenges.

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