- Senior Solutions Architect for Responsible AI (RAI) initiative

• Extracted measurable, quantitative metrics from existing qualitative reporting systems to create a new analytics environment system that provides analysts with data-backed answers to senior leader questions; • Designed web application UI/UX for non-technical analysts to interact with multiple data science models and tools, including a highly technical stochastic non-deterministic algorithm, with output visualizations formatted and ready for export to senior leadership;• Documented requirements and designing system interfaces in accordance to the ISO/IEC/IEEE International Standard 29148-2018 - Systems and software engineering-Life cycle processes-Requirements engineering;• Authored multiple Analysis of Alternatives, to both Deloitte contract partners and government clients, outlining existing DevSecOps environments, dashboarding software, data warehousing, ETL data pipelining, and data management tools available in DoD digital environments.

• Managed concurrent rapid prototyping data science projects and multidisciplinary teams with clients in the DC Metro Area and Germany;• Delivered user friendly sentiment analysis dashboards to multiple clients using Power BI visual reports in AZURE government cloud environment, and Tableau Server (Cloud) with data hosted on private AWS server;• Analyzed geospatial satellite data and GDELT global events, language and tone media data with python and SQL;• Implemented neural networks, k-means clustering, cosine similarity, natural language processing, and time series analysis, including Mann-Kendall and Sen’s Slope, to machine learning deliverables.

• Led team of data engineers by creating a course of action and agile project schedule based on stakeholder discussions, identified risk involved in each solution option, organized client feedback into project scope, and communicated different types of technical solutions compatible with project timeframe and budget to client;• Applied solution to multiple internal client initiatives and collaborated on similar external efforts occurring at adjacent government agencies;• Prepared, scheduled, and presented weekly update briefs to government clients for weekly feedback;• Delegated tasks in JIRA and confluence during daily team meetings as Scrum Master to hit project deadlines;• Managed team hours in-line with project budget and onboarded new staff in virtual and OCONUS settings; • Independent travel on multiple international business trips to gain feedback from clients in Stuttgart, Germany.

• Applied data science and research skills to improve USACE climate resilience Time Series Tool Box and Climate Hydrology Assessment Tool;• Conducted literature review to determine best practices for preprocessing non-linear tidal gauge data, explored methods utilizing Fourier Transforms, wavelet analysis, and Multi-layer Feedforward Backpropagation;• Coded a neural network machine learning algorithm in R to interpolate missing non-linear data.

- Managed Advana data science use case technical deliverables and presented weekly briefs to both technical and non-technical government clients at the O-10, SES-3, and E-9 levels;- Collaborated and received weekly user feedback from clients in both virtual and in-person settings;- Analyzed, cleaned, and pipelined data for big data dashboards using Qlik, Apache Spark, and Databricks;- Generated novel insights from data by using different visualization techniques and applied statistics;- Investigated ways to apply machine learning models (regression, neural network, k-means clustering) to enhance deliverable capabilities; - Mentored junior staff on basic functionality of Advana suite tools including Qlik and Databricks;- Implemented a data warehouse backend structure and extract, transform, and load (ETL) pipelines for data visualizations;

• Aided professors in four courses, 60 students per semester, by managing and helping students withassignments;• Helped educate engineering students with office hours and supplementary lectures in the followingsubjects: Materials Science, Integrated Production Systems, Engineering Economics, and Ergonomics andHuman Factors.

• Proposed a research project to recycle thermoset composite plastic materials;• Managed a multidisciplinary research team and created an effective experiment schedule and budget;• Led a team in hands on laboratory experiments to prepare and test 100 fiber reinforced concretecylinders;• Applied statistics in the form of a Design of Experiment (DOE) and tested results for significance;• Competed in multiple university wide business model competitions to pitch this recycling process as abusiness;• Awarded “Most Innovative InNOLEvation”, “Most Innovative Senior Design”, “Best Senior Design Section Presentation”, “Most Innovative Shark Tank”, and $5000 to put towards more research;• Pursued patent protection and a business LLC for the recycling process.

• Investigated data and used operations research to optimize resources for the U.S. Marines;• Created an informational document to educate others about integrated circuits;• Organized additive manufacturing and reverse engineering consortium preparation information;• Produced professional, client ready PowerPoint presentations.

• Marketed 3D map software from canceled project to supplement new proposal, helping win FEMA contract bid;• Developed technical and non-technical communication strategies to communicate ideas to different audiences;• Investigated software applications through machine learning regression analysis, linear and nonlinear programming, and ArcGIS 3D maps to create an augmented reality application to predict flooding damage.

• Designed an efficient tooling maintenance and repair system for the Advanced Microelectronics Cell (AMEC), reducing time spent handling broken tools and optimizing AMEC efficiency;• Conducted experiments on manufacturing tools to minimize foreign object debris, and used Minitab to return a manufacturing process to statistical control, preventing defects in future microelectronic radar parts.