Turnkey was successfully acquired by Vacasa. I stayed to help with the transition, but ultimately my role was redundant with staff they already had so we went our separate ways.

• Led the vision and strategy for data at the company including adopting a modern technical stack using Salesforce, Fivetran, Snowflake, DBT, and Tableau• Performed various analysis, deep learning, data architecture / engineering, and programming tasks as needed; typically the hardest tasks that required more extensive knowledge and experience• Provided guidance and assistance to team members on difficult projects• Introduced best practices such as source control, a ticketing system, documentation, code reviews, and quality assurance testing• Researched and selected the best-fit tech stack for our company• Formed cross-company relationships with the executive leadership and data users from all departments across the company• Developed an evidence-based hiring process using research-supported methods such as standardized questions for initial interviews, programming tests, panel interviews, and other proven techniques• Led an initiative to build monitoring, error handling, fault tolerance, and automatic alerting across the code base• Conducted weekly 1-on-1’s with all employees to ensure satisfaction, engagement, and performance• Created a cross company data-focused group to share news, tips and tricks, informational and how to sessions, recent insights, and other information as part of an effort to create a managed, federated, self-serve BI community to augment the centralized team• Introduced project planning and project management techniques for larger projects• Was responsible for imagining and designing several proprietary, game changing business initiatives

- Lead a team of data scientists, programmers, statisticians, and accountants in the Department of Veterans Affairs to provide actionable insights through standardized and unified business analytics- Designed and built a system to scan Twitter for posts concerning the VA and performed sentiment analysis on them using a Bi-Directional DRNN with STLT memory- Employed statistical techniques to identify medical providers with a pattern of fraudulently miscoding services rendered- Created complete data analytics solution for the oversight of a $4 billion / year government credit card program, including identification of high-risk transactions and intelligent policy-avoidance detection- Performed analysis of the duplicate payment recovery program increasing efficiency 10x- Performed statistical analysis including nonlinear logistic regression to provide a sound basis for the review of outlier purchase trends- Led the move to Agile Scrum, serving as an agile advocate and scrum master - Trained other employees in SQL, data mining techniques, and the data analytics process flow

- Responsible for data architecture, storage, ETL, and delivery in various forms to support a data-centric SaaS solution which delivers real-time benefits of data analytics to e-commerce shoppers - Architected and implemented highly-scalable solutions which were capable of supporting tens of thousands of users with response times under 30ms- Built a web-site back-end using REST to provide automated csv, tsv, and XML data loading, CRUD operations to the document store, OpenId authentication, role based permissions, shift management, payroll, and basic reporting- Designed and built a simulated graph database in the relational PostgreSQL database to showcase the business advantage of graph database software for the current business case- Helped to grow the company by participating in the hiring process. Interviewed new candidates for technical abilities and soft skills- Worked on many ongoing projects with varying deadlines and ambiguous boundaries, prioritizing each based on projected value and company goals

- Responsible for all data warehouse operations including ETL, data analysis, and reporting.- Developed a model capable of predicting full year direct mail performance only 30 days after mailing to within 0.1% precision at 95% confidence.- Reports and direct mail optimizations used to govern a $10 million annual budget, improving response rates by 53%, and providing a similar increase in base revenue. - Used my knowledge of statistics, predictive analytics, data mining, financial modeling linear regression, clustering, and segmentation, to create predictive models of customer acquisition, attrition, cost scaling, revenue, and EBITA.- Assessed all models for accuracy, applicability, confounding factors, outliers, and potential pitfalls.- Created a combined 5 year predictive model of the overall business from the smaller individual models in MS Excel, which allowed executives to see how decisions made today would affect tomorrow.- Interfaced with varied departments, executives, and investors, presenting a friendly and professional face for the data gathering and reporting needs of the company.- Used MSSQL to create a data warehousing solution, including nightly aggregations optimized for reporting reads, and used SSRS to develop and publish automated reports.- Advised business leaders on matters concerning statistics, KPI selection and evaluation, technical capabilities and limitations, in addition to software purchases up to $120K.- Trained and mentored co-workers in SQL and business analytics.- Prepared analysis, reports, and data visualizations on demand for hypothesis testing, potential trouble spot investigation, as well as board meeting presentations.- Discovered the 30% of customers which generate 95% of revenue spurring new business tactics, such as targeted customer retention efforts, which reduced customer retention costs by 70%.

- Maintained enterprise level web sites including CarLocate.com- Maintained and expanded complex software designed to generate entire websites dynamically- Assisted in building systems to record phone traffic and correlate it with website traffic for the WhosCalling and Callbright products

- Worked as part of a team monitoring 11,000 miles of natural gas transmission pipeline- Acknowledged, took responsibility for, and responded to hundreds of warnings and alarms each shift- Carefully documented and reported all essential work activities in a clear, concise, and accurate manner- Acted as a polite, efficient, and responsive interface with customers- Contributed to the team effort of maximizing pipeline efficiency in varied and quickly changing conditions resulting in an overall fuel savings averaging about $31,000 per day- Innovated new processes and systems with millions of dollars of potential annual savings

- Wrote programs to run in the ROOT C++ interpreter to perform a variety of tasks ranging across and beyond data analysis, determination of numerical trends, and graphical representation of research- Played a vital role in facilitating cosmic ray research- Analyzed data from the IceCube Neutrino Telescope in Antarctica and from advanced cosmic ray simulations to understand cosmic rays, their detection, and the reliability of the detection equipment- Described and illustrated observations and conclusions in mathematical terms as well as graphically- Provided assistance in formulating and devising procedures for physical testing of materials- Conducted and executed instrumental analyses to determine physical properties of materials- Efficiently worked in both closely supervised and loosely supervised settings