"Data science is too expensive." That used to be true. Data storage was costly; specialized tools were needed to process and analyze that data; getting people with the right skills meant building a new department.Today every business can afford a data science program. Cloud providers have driven infrastructure costs down significantly. Open source languages passed legacy software providers in breadth and depth. Fractional employment models provide expert knowledge without long-term cost commitments. Fractional Data Science combines these capabilities to create low cost, quickly implemented data solutions for our clients. With experience in all parts of the data lifecycle, in both business and technical departments, Fractional Data meets clients wherever they are on the data journey and takes them forward. It's never been easier and less expensive to launch or grow your organization's data science program!

As part of the Data Analytics Certificate at Columbus State I teach the Applied Data Analytics course for students who are upskilling their careers. Leading up to this class students have learned the fundamentals in subjects like statistics, programming and data management. In this course I teach them how to put it all together and build real world analyses.Some of the topics we teach are:• Finding and pulling data though web-scraping and API calls• Building simple and multi-linear regression models to understand which variables are meaningful to a desired outcome• Visualizing the results with Tableau and presenting the conclusions• Building a data pipeline and automate report generation within AWS

OCLC is making a renewed commitment to helping libraries better serve their patrons with analytics and data science. To that end we're underway on several initiatives in my organization. • Built a new Data Science team within OCLC. This is the first time the company has had a data science department and my role included hiring and establishing the team, identifying and procuring our tools (such as Databricks) and intergrating our work into the rest of the organization. • Rebuilding our analytics infrastructure into a more modern data platform. With Snowflake sitting in the center we're building simple ingestion tool to move data into Snowflake, introducing dbt to the company for transformation, adding a data catalog like Alation to make data accessible and giving our users Tableau so they can create their own dashboards.• Launching a new analytic product for libraries. Built fully in the cloud this app's infrastructure not only supports this product launch but will be a template for future products.

As a part of the Enterprise Analytics department my team manages the enterprise’s customer and digital data supporting Marketing, Data Science and Analytics. We ensure customer data is created and tracked consistently. We build reporting to support users throughout the organization. We partner with external vendors to ingest new data and to send out data for analytic engagements. Some specific accomplishments: • Digital data acquisition – Responsible for understanding externally stored digital data (ie: mobile app logging, website tracking, and digital media contact history). Develop extractions from these sources for internal partners, build processes to turn unstructured data into structured objects and provides analytics/reporting against the data.• Led a project to build a marketing allocation predictive model. Working with a consulting firm we used historical sales data and digital advertising and contact history to create a model forecasting ideal marketing spend by channel, time and geographic area. My team and I were responsible for data collection, we led conversations to translate the requirements and explain our data and I led conversations with VS executive leadership to present results. • Leading efforts to build and migrate analytics into Microsoft Azure and defining and implementing services needed for our data scientists to work more quickly. Includes guiding the team, monitoring and projecting costs and consulting to other departments as they take on similar efforts in Azure. • Analytics Automation – Moved the department’s reporting to a suite of interactive R-Shiny dashboards and away from Excel documents sent via email. This accomplished the goals of automating our work while making it more intuitive through visualization. • Talent Management: Support and mentor my team and the broader Data Science & Analytics department. My management led to growth for all my direct team, most notably internal promotions for multiple members.

Extracted, organized and analyzed data based on my own curiosities and the broader needs of STC. My two largest accomplishments were: Social Media Analysis: Analyzed the promotion mix by MLS of its constituent teams. Using Python and the Twitter api extracted tens of thousands of tweets from @MLS account. Processed these to flag the mentions by team. Then in R created visualizations to show the build of promotion activity over time. Results were later picked up and published in The Guardian Initial Analysis: https://twitter.com/asmith2729/status/971477248455921664 Guardian Article: https://www.theguardian.com/football/2018/mar/14/does-mls-really-promote-flashier-clubs-over-less-glamorous-ones Ticket Tracking Program: STC wanted to understand available seats for Crew games and needed a method to gather this data. Using Python (Beautiful Soup and Selenium modules) I wrote a program that scraped seat by seat availability data from Crew ticketing site. I automated this on an AWS EC2 instance to run twice daily. Comparing the resulting data sets over time showed seats shifting from available to sold.

Within the retail bank's marketing department, serve as the first point of contact with the bank's data. Manage a team of three marketing analytic professionals responsible for building organization's reporting infrastructure. Specifically focused on understanding the needs of the business client and then developing scalable self-service solutions which require a minimum of ongoing support.Develop long term plans, while supporting daily operations, of the following technologies:--ETL (SAS and Control-M)--Data Cube creation (Hyperion Essbase)--Report Delivery (Cognos)

Manage a team of five Business Intelligence employees to deliver projects and enhancements for the Marketing, E-Commerce, Stores, Finance and Loss Prevention departments with particular focus on CRM and tools. Working across functions, develop long term strategy and short team operations for the following BI functions--CRM (Teradata Relationship Manager)--Reporting (Business Objects)--Data Modeling (Teradata EDW and Oracle ODS)--"Big Data" Analysis / Advanced Analytics (SAS and SQL)

Work as technical team lead on CRM focused projects. Responsibilities include performing initial discovery assessments and estimates, partnering with business users to develop robust requirements, leading IT colleagues through design and build phases and serving as point of contact with QA teams. Lead organization in adoption of best practices within CRM tool (Teradata CRM) including campaign creation and optimization.

Have you ever gone to the drugstore to fill a prescription and forgotten that you also need paper towels? Or perhaps you ran into the hardware store to buy a gallon of paint but didn't remember that you needed a new rake too? It's happened to all of us and that's why Naggy was invented.A reminder app that limits you to just one location is exactly that - limited. Naggy is supported by a proprietary retail database of 20 retailers and over 30,000 locations so that you can shop anywhere and still get your reminders.

Responsible for operations of one of the nation's largest retail CRM databases. Directed and coordinated work between marketing users, internal technical teams and external vendors. • Provided oversight of customer database architecture to ensure that data was available to users in accessible formats. Validated audit reports to maintain data quality. Managed space constraints by continually reviewing value of data maintained and purging obsolete data. • Built awareness and understanding of current and upcoming marketing technologies. Executed pilot testing for promising technology and when applicable, oversaw integration of these technologies into the marketing department.• Managed technical relationship with email vendor including daily transmission of email data, business rules for preference management and integration into customer database.

• Project manager as part of enterprise-wide program to move marketing functions from third-party vendor to in house. Successfully oversaw initiation of new e-mail program for two company brands (Bath and Body Works, Express) on time.

• Served as Project Manager on federal government funded research projects. Developed budgets, projected and controlled costs; created resource requirements and managed team assigments. Closed projects and ensured all work was docuementated and provided to sponsoring agency.• Promote new business development by providing comprehensive support throughout proposal process including: creation and rationalization of budget, communication with external subcontractors, gathering of requirements and approval of institutional authorities.• Provide support to internal clients by developing and maintaining internal and external relationships. Identify project and business needs and recommend solutions and process changes. Monitor ongoing work through monthly reports with forecasted problems highlighted.

• Mined customer database to provide analytical assessment of the organization’s customers. Segmented customers based on giving patterns and history. Provided highly actionable customer-by-customer accounting of retention losses. This report was the first time the organization had such powerful, direct information. • Grew a sales position into a broad based market management role. Handled four client offices with sales and marketing efforts; materials and processes created became a “Best Practice” of the national organization.