Contributing team member to ITFP Data Foundations: Data Engineering Services & Accelerators team. The team's responsibilities include supporting data engineering infrastructure deployment Ansible roles, developing and maintaining internal data engineering toolkit packages, and providing consultation services to data engineers within the company. Utilized a combined skill set of data engineering, software engineering, and DevOps engineering to enable Data Engineers within the Chevron Azure ecosystem.Accomplishments/Projects:DETK v4.0 Package Overhaul: Successfully led the design, development, and deployment of the Data Engineering Toolkit v4 (DETK) resulting in a successful release and adoption across multiple Chevron teams with 400 internal downloads. Managed the team through the architecture design process, feature development, task prioritization, and facilitated stakeholder engagement and feedback. - Developed 25% of the package (~1000 lines) and provided major contributions to package architecture redesign resulting in improved package usability. Ansible Role Upgrade: Successfully led the update of the team’s eight Ansible roles from Ansible version 2.9 to version 8.1. Enabled the continued use of Ansible roles across all company data infrastructure through the use of rigorous testing and change management practices. Databricks Feature Enablement:Enabled automatic Databricks workspace permission management and Delta live tables within the Databricks workspace deployment ansible roles.Reduced Databricks related troubleshooting processes by ~2 hrs per issue through the automatic setting of workspace permissions allowing engineers to access cluster logs.Contributing team member to ITFP DF Data Engineering Services & Accelerators team. Skills: Software Development · Continuous Integration and Continuous Delivery (CI/CD) · Data Engineering · Apache Spark · Python (Programming Language) · Databricks Products · Ansible · Microsoft Azure

Acted as a Process Engineer at the Solvay NoveCare Winder, Georgia manufacturing facility. During the length of the position, various site critical problems were solved and ownership of supporting assets was obtained.Accomplishments/Projects:Glycine Feedstock Conditioning: Developed a methodology reducing operator hours by 70% for conditioning glycine super sacks.Cowles Dissolver Mapping: Mapped utility and process connections to decommissioned equipment, removing safety hazards due to improperly decommissioned assets.Site Storage Optimization: Developed a reusable VBA script to analyze and visualize tank utilization, saving roughly 100 hours of senior process engineering time. Production Schedule Dashboard: Created a Google Scripts-based application for an updatable Production Schedule Display.Drumming Room Management: Documented improvements for a liquid drum packaging asset and brought it to company standards.

Worked in the DMOS6 Plasma Module as a Process Engineering Intern. Successfully leverage previous experience to prioritize projects and drive value in alignment with team needs. Accomplishments/Projects:Production Stop Analysis: Enhanced operational efficiency of the fab by identifying and removing ~150 production stops and created a plan for future avoidance of the issue. Interdiction Model Improvement: Enhanced the usability of interdiction model software for ~50 other engineers by developing plans for easier code reuse across the site.Buffer Chamber TIMs Model: Continued work on the TIMs control model, performing final validation testing and placing the code in production for all 40 of the plasma chambers.

Second of two Co-Op terms with Olin Corporation working as a Chemical Manufacturing Services Co-Op in Houston, Texas. Utilized previous knowledge of company processes to determine and standardize best practices while interfacing with various manufacturing support functions.Accomplishments/Projects:Global FMEA Tool: Assisted in developing a web-based FMEA application for the global asset management plan covering $9 billion in assets. Lean Manufacturing Work Process: Analyzed and standardized a Wildly Important Goal process for implementation across 10 U.S. sites, enhancing long-term focus amid daily operations.M&R Reporting and Metrics: Established a monthly global maintenance and reliability meeting and developed a temporary global M&R metrics dashboard during SAP updates.Leadership Best Practices: Conducted interviews with high-level company leaders, identified training gaps, and recommended improvements and resources.

Worked as a Undergraduate student researcher under the Colorado School of Mines MInDS Lab with the goal of utilizing known protein-protein-interaction (PPI) data to predict how Covid-19 attacks the human body. Accomplishments/Projects:PPI Database Creation: Collected, preprocessed, and transformed known protein-protein interaction (PPI) data to train machine learning models for predicting human-COVID-19 protein reactions.Python Data Pipeline: Developed a Python-based data pipeline to gather user specifications, scrape PPI data from websites, clean and transform the data, and store it in a MySQL database.Technologies: Python, Flask, MySQL, Pandas

Team Leader of first ever competing iGEM team at the Colorado School of Mines. Led and leveraged the capabilities of roughly 30 active team members to recognize and develop solutions for real world problems utilizing biological technologies.Accomplishments/Projects:Received a Bronze medal for the development of a E. coli-based sensor for cadmium in mining wastewater at the iGEM 2018 competition. Implemented a work process flow organization resulting in an increase in group efficiency.

Worked under Dr. Nanette Boyle with the task of locating the origin of replication of pAQ-1, a plasmid found in Synechococcus sp. PCC7002.

First of 2 Co-Op terms with Olin Corporation working as a Chemical Engineer at the Plaquemine, La caustic plant. Successfully leveraged the strengths of teammates to complete a wide variety of projects while learning about the day-to-day operations of a chemical manufacturing plant. Accomplishments/Projects:Cooler Wash Cycle Optimization: Created a real-time heat exchanger efficiency DeltaV module, identifying an efficiency loss of $500,000 per year in production capacity.Cell Effluent Analyzer Improvements: Developed a cost-effective solution for a custody transfer analyzer, reducing maintenance and increasing reliability.Miscellaneous Projects: Worked on process temperature prediction using neural networks, process optimization and debottlenecking, P&ID updates, transmitter improvements, and pump resizing.