Oscar Rincón-Guevara Email and Phone Number

• Managed a diverse team of researchers specializing in economics, medicine, epidemiology, and statistics, leading more than five analytical studies on viral infections, diabetes, COVID‑19, and mpox using PySpark within medical claims and electronic health records • Conducted cost‑benefit analysis across 900+ healthcare facilities to assess the transition from manual to electronic case reporting • Utilized advanced artificial intelligence techniques, including named entity recognition… Show more • Managed a diverse team of researchers specializing in economics, medicine, epidemiology, and statistics, leading more than five analytical studies on viral infections, diabetes, COVID‑19, and mpox using PySpark within medical claims and electronic health records • Conducted cost‑benefit analysis across 900+ healthcare facilities to assess the transition from manual to electronic case reporting • Utilized advanced artificial intelligence techniques, including named entity recognition (NER) task from Large Language Models (LLM) to create natural language classifiers using Random Forest, and eXtreme Gradient Boosting to categorize early symptoms of mpox in at‑risk patients, employing PySpark, and MLflow within electronic health records• Develop well‑defined analytical questions and plans to provide decision insights to stakeholders on complex, challenging public health problems using statistical analysis• Created reusable data pipelines in Azure Databricks using CI/CD methodologies to optimize markup’s cleaning time in medical notes up to 70% faster as compared to baseline approach Show less

•Produced data visualizations and dashboards on Azure Databricks platform using PySpark and Python to track population health trends on COVID‑19 and mpox for internal stakeholders• Developed a pregnancy identification algorithm using medical claims data following spacing requirements between episodes of pregnancy, and outcomes. Developed in PySpark and SQL, the algorithm identifies more than 3 million pregnancies and algorithm is deployed for multiple projects• Analyzed high‑risk… Show more •Produced data visualizations and dashboards on Azure Databricks platform using PySpark and Python to track population health trends on COVID‑19 and mpox for internal stakeholders• Developed a pregnancy identification algorithm using medical claims data following spacing requirements between episodes of pregnancy, and outcomes. Developed in PySpark and SQL, the algorithm identifies more than 3 million pregnancies and algorithm is deployed for multiple projects• Analyzed high‑risk prenatal visits in electronic health records, differentiating rural and urban areas, and conducted risk factor analysis using statistical modeling• Balanced multiple projects/tasks and priorities of customers and partners to ensure deadlines are met, while working independently with minimal direction within the scope of the assignment Show less

• Used clustering techniques for a facility location problem to assess the assignment of producers to consumers in the Vehicle Routing Problem (VRP). Comparing results from affinity propagation, k‑means, agglomerative clustering, spectral clustering, and Louvain algorithms• Developed a framework to measure the value of personalization for physical products and product‑service systems• Integrated elements of decision‑based design for studying product design specification and uncertainty… Show more • Used clustering techniques for a facility location problem to assess the assignment of producers to consumers in the Vehicle Routing Problem (VRP). Comparing results from affinity propagation, k‑means, agglomerative clustering, spectral clustering, and Louvain algorithms• Developed a framework to measure the value of personalization for physical products and product‑service systems• Integrated elements of decision‑based design for studying product design specification and uncertainty quantification in manufacturing systems• Assessed the effects of customer interaction with product and manufacturing system in terms of utility for personalized production• Implemented a game‑theoretical approach for coordinating design and manufacturing activities in a network• Used graph theory and network theory to assess the effects of change propagation on a product• Implemented Bayesian network approach and made statistical analysis in a manufacturing environment in the context of personalized production• Developed decision tool using agent‑based simulation for college administrators to enhance course offering and capacity assessment Show less

Assisted with classroom management and tutored students by providing study sessions in the areas different courses such as Operations Research, Industrial Control Systems, Linear Programming and Economic Decisions in Engineering

Outreach office• Guided and managed internal calls for social innovation projects on Bogotá campus• Supported faculty in project execution and new applicants in social innovation-related projects• Directed characterization of the classroom infrastructure of the Bogotá campus in terms of space and occupational safety• Led the development of web application for program administrators to identify classroom capacity and available equipment• Communicated findings and showcased… Show more Outreach office• Guided and managed internal calls for social innovation projects on Bogotá campus• Supported faculty in project execution and new applicants in social innovation-related projects• Directed characterization of the classroom infrastructure of the Bogotá campus in terms of space and occupational safety• Led the development of web application for program administrators to identify classroom capacity and available equipment• Communicated findings and showcased web applicationSociety, Economy and Productivity (SEPRO) Research Group •Participated and supported grant report writing in project related to freight transportation within the city of Bogotá•Communicated project's findings to interest groups for improving transportation operations•Developed surveys for data collection aiming to characterize the status of logistic infrastructure for freight, medicine, and food transportation in Colombia•Collaborated with stakeholders, and provided operational scenarios using discrete optimization Show less

As a service coordinator Oscar assisted the delivery of high cost medication to patients and also acted as a key speaker to create awareness for rare diseases and patients rights