Programming
Programming: R, Python, SQL, MATLAB, Excel
R (Gurobi, dplyr, tidyverse, ggplot2, glmnet, foreach, doParallel)
Python (Gurobi, GLPK, NumPy, scikit-learn, pandas, multiprocessing, streamlit)
Data/Deployment: Snowflake, Streamlit, Astronomer, Argo CD, Docker
Methodology: analytical closed-form modeling, simulation, simulation-optimization, data analytics, machine learning, predictive modeling, statistics, Markov decision processes, stochastic programming, dynamic programming
Application Areas: supply chain management, inventory management, logistics, medical decision-making, real-world data visualization and interpretation, healthcare
Routing and Inventory Optimization - KeepStock
Lead Advanced Analytics Analyst, November 2025 - present
Senior Advanced Analytics Analyst, October 2024 - November 2025
Senior Planning Analyst, March 2024 - October 2024
Lead the design, development, and deployment of projects that utilize operations research to optimize decision-making while working closely with interdisciplinary teams and field team members to ensure model validity and continuous improvement
Mixed-integer and integer linear programs to optimize the configuration of KeepStock digital vending machines. Formulating the model as a network flow problem leads to quick computation times and eliminates the need for expensive optimization solvers. One of the models is embedded into a user-friendly interface to allow team members easy access to the model and provides significant time savings over their current process
Inventory theory, bootstrap sampling, and outlier detection to enhance the openstock (e.g., supply closets, pigeonhole storage) inventory model
Established the MLOps platform for the Routing and Inventory Optimization team and manages/leads the platform for the team to ensure everything is in compliance and operational
Mentored KeepStock summer intern (summer 2025) and junior team member (winter/spring 2025)
Customer Care Center
Intern, May 2018 - August 2018
Collaborated with an employed industrial engineer on a variety of projects such as retail escalation group, credit card dispute, and business banking optimization
Collaborated with the continuous improvement team to formulate an internal satisfaction survey in order to optimize the continuous improvement process
Received four total spotlight recognitions in the areas of teamwork, performance, and respect