In this role I work on various projects for client delivery and leadership. My concentration is on data engineering, machine learning, automation, and analysis.Here is a selection of projects and work.- Discovered new opportunities for a client to use data engineering and ML to be more efficient. - Led team to give insights into cloud costs, with design and implementation of forecasting. Working closely with stakeholders to understand needs and how to present and understand cloud costs to give better control over spending. A key aspect of this work was to incorporate forecasting of the costs so they could take actions in advance to keep spending under control.- Improvement of claims processing via ML. Working with a team of Data scientist, Data Engineers, Business stakeholders, and analysts. I built and implemented a machine learning model. During this project, I educated the team on ML and explained the functions, strengths, and weakness of the method. Trained various models and tested accuracy. Build infrastructure for ETL, model training, and testing. In addition, I worked with the team to hire full time data scientists and ML engineers who I helped onboard.- Database optimization. I worked with a team to test out methods for improving the database response times to improve the user experience. We implemented various strategies with load/performance testing. I initiated and designed an automated approach for testing. We build this out and it is configurable to allow it to scale for other testing needs. It reduces manual time in testing and improves access to records making comparisons faster and easier.

As a consultant I've worked on a variety of projects. There has been a great diversity in the structure of the team, industry, technologies, and objectives. Here are some examples of the types of work that I've done.- Developing a Facial Recognition system using AWS services to interface with physical security systems. Where I helped led and design the project.- Building an IoT service with visualizations to monitor and automate the system. This service incorporated physical hardware and enabled the user to have less down time by providing real time information and alerts about status. - Creating automated systems to enhance image data; extracting relevant features, adding labels, editing meta-data. Which enabled the client to shift to modern data practices and supply a back-end database for a customer facing app.- Helping a client better understand and use their data, by building out ETL pipelines to support a data lake.- Reviewed logistics to assess optimization opportunities. This was accomplished by analysis of historical shipping patterns. With different optimization strategies where simulated on the dataset and asses for efficiences.- Document processing workflow, Built POC for automated document processing to extract relevant information. This was accomplished using cloud technologies and basic NPL which had the ability to write to a database. Which improved the data quality on the backend and improved processing time. And we build out a working system for the client based on this.- Refactored Machine Learning POC for production - took existing ML model, re-analyzed data, model performance, re-structured code to for scalability and processed this into a Production product. This enabled quicker, cheaper, and more reliable claims processing.

I teach the lab portion of a Data Science course. This course is a introduction to data science, where students learn about basics of data analytics and machine learning.My responsibilities include instructing the students on how to build models, how to interpret models, and how to improve their models. While showing best practices in data exploration, data cleaning, and industry standards.

This organization is part of the American Physics Society. It works to provide career advice and mentorship to physics graduates and recent graduates, as well as networking and community for the local physics community.As part of this group I have given talks, organized events, and worked on industry outreach.

Working with Cloud data on Amazon servers to build pipelines that bring data to analysts and translate data to more accessible formats while preforming basic QC.Analyzing Geo-spatial and time series data.Automation of workflowsBuilding visualizations

Building tools that integrate with ArcGis to facilitate faster and easier analysis.Create software that streamlines work flow.Work in Agile environmentCreating Tools in QGIS for general use

Provide data and analysis to companies and organizations.Work in small teams on projects lasting 6-8 weeks.Projects include:Real-estate Development. The scope of the project is to identify facilities and talent in St. Louis that can be leveraged to attract potential tenant companies to St. Louis. The deliverables include developing strategies for the client to engage and recruit potential companies(from a given list) to St. Louis.Agricultural Start-up(s)1)The focus of this project was to determine a list of potential locations for a seed crushing plant and distribution facility based on supply chain constraints. This project will required unique research commodity transportation logistics, understanding of distribution channels in the Midwest, and strategic development of a framework to assist the client's decision. And financial considerations2)Market Assessment and Prioritization for AgTech startup companiesData gathering and market assessment for two different Agricultural tech start-upsWashington University Office of Technology Management (Patent Assessment)Through discussions with OTM and faculty inventor(s), the team evaluates the resulting product of each invention disclosure as follows: (a) determines whether there is a market, (b) estimates market size and degree of fragmentation, (c) identifies the primary competitors and potential strategic/licensing partners, and (d) examines associated barriers to entry. The team presents their analysis and findings, along with a recommendation for product commercialization, to the OTM’s business development team.Start-up Surgical Medical Device CompanyObjective: Understand the market for the device and understand the job experience/market of surgical medical device sales representatives.

I have worked on and off as a teaching assistance for a variety of classes. The classes include (in chronological order);Introductory physics (with calculus) II (electricity and magnetism)Advanced electronics labIntroductory physics (with calculus) I (mechanics) lab instructorStellar astronomyIntroductory physics (with calculus) I (mechanics) lab instructorAs a teaching assistance my duties have included;Holding offices - meetings with students to discus course materialSupervised lab section - instructed, helped, demonstrated experiments, answered questionsGrading homework, lab reports, and exams - the amount of grading varied greatly by course, some was daily work and other courses had weekly work. In addition I was tasked with writing the answer key for some courses

As a graduate student I have taken on many roles.I have taken course work and passed a qualifier exam in order to receive my masters, and joined a research group and been active in research and other small projects. Through my research I have became a member of VERITAS collaboration. As a VERITAS member I have spent time observing, participated in working groups, spent time as data quality manager, and had access to the VERITAS data.My research involves studying AGNs and the EBL, using VERITAS data. Through my research I use search analysis programs and tools, ranging from ROOT, python, C++, perl, gnuplot, to command line unix.

Water Polo coach for Washington University Mens Club team.Won first place in the 2014 National ChampionshipsWon second place in the 2012,2013 National ChampionshipsOrganized and managed practices