Weimar Ardila Rueda

Experience

• 

  Universidad Autónoma del Caribe

  Jan 2014 - Jul 2022

  Conducted academic courses and evaluated students’ performance. Instructed courses: Probabilities and Statistics, Design of Experiments, Operations Management, Supply Chain Management. Assisted with assigned activities, including college promotion, student recruitment, student placement, industry liaison, and various administrative functions. Collected and analyzed data, and created reports on relevant university statistics and performance metrics/indicators (e.g., student population growth, students’ performance, publications, etc.).Successfully implemented a heuristic approach algorithm for balancing security staff shift-work schedule.Developed statistical predictive and dynamic models for the student population growth and decreased prediction error.

  • Full-Time Instructor

    Aug 2015 - Jul 2022

  • Strategic Planning Analyst

    Jan 2014 - Aug 2015
• 

  University of South Florida

  May 2021 - Jul 2021

  Course Instructor

  Course: Probability and Statistics for Engineering.Description: This course covers the main topics of probability and statistical modeling and their application for problem-solving in different fields, including business and industry.Responsibilities: Prepare, organize and conduct an academic course. In addition to assessing and monitoring the performance of more than 150 students at the undergrad level.

• 

  University of South Florida

  May 2022 - Sept 2022

  Applied advanced statistical models and probability methods for risk and resilience assessment.Developed stochastic decision support models for dynamic allocation of resilience resources during the post-disruption response in social-physical systems.Established guidelines for balancing the resilience intervention and improvement costs in social-physical systems (small communities, supply chains, etc.).Built discrete event simulated testbeds based on real disruption scenarios (natural disasters, pandemic outbreaks).Applied stochastic decision support models to strengthen the resilience of seaport terminals operations for optimal disruption management (study case: Barranquilla, Colombia; project awarded by the Colombian National Science Agency).Generated reports and summarized results using data visualization tools/packages in R, Python, and ArcGIS.Developed and implemented a methodology to compare the performance of different supervised machine learning techniques (regression models, time series analysis, and neural networks) in demand forecasting and inventory management.Applied Bayesian generalized linear models and Markov Chain Monte Carlo simulation for demand forecasting and inventory management. Developed a mixed-integer linear programming optimization model for multi-stage recovery scenarios in social-physical systems to enhance decision-making during the post-disruption response.Designed a bi-objective mixed integer programming optimization model for reliable Supply Chain Network Design.Teaching: Provided support and assisted professors in conducting assigned courses. Assisted courses: Probability and Statistics for Engineering, Engineering Programming, Industrial Information Systems, Project Management, and Probabilistic Operations Research. Show less

  • Graduate Assistant

    Aug 2017 - Sept 2022

  • Course Instructor

    May 2022 - Jul 2022
• 

  University of South Florida Muma College of Business

  Aug 2022 - Aug 2023

  Prepared, organized, and taught courses for students at the graduate and undergrad levels. Courses: a) Systems Analysis & Design: This course explores various systems analyses and design approaches, implementation methods, and current analysis and design issues to provide the tools needed to analyze existing business problems and design creative and innovative information system solutionsb) Managing Information Resources: This capstone course is focused on reinforcing the skills that allow students to be technically savvy through C# and Python programming assignments. In addition to having an overall knowledge of technology-related issues in business and being effective at working with and contributing to team projects through analyzing study cases. Show less

  • Visiting Assistant Professor of Instruction

    Jan 2023 - Aug 2023

  • Graduate Instructional Assistant - Doctoral

    Aug 2022 - Dec 2022
• 

  The University of Kansas School of Business

  Aug 2023 - now

  Lecturer in Business Analytics