I am a husband, a dad, and an analytics professional.
Ever since I was a young boy, I have been an actor, storyteller, and creative writer. At the same time, I began writing computer code in second grade (hey, LOGO and Applesoft BASIC count!), and I have always been pretty good at math.
After a few years as a developer, I discovered analytics and found that I could build a career by bringing these two paths together. An analytics career has allowed me to keep my technical skills sharp through analyzing and delivering insights across many variations of data, but it has also allowed me to hone my artistic skills through captivating my audience with compelling stories and charisma.
- Data and analytics should not be activities that simply check the box. They should be fundamentally intertwined into the process optimization and decision-making culture of an organization.
- Analytics and Data Science are not valuable until the outcomes can be applied to the business. If Analytics is not driving business change, then it’s more or less a waste of time and money.
- Curiosity as a characteristic is even more valuable than coding. I can teach someone to code, but a good analyst will have heart.
Name: Peter Eliason
Current Employer: Revel
Education: MS (Predictive Analytics) Northwestern University – Evanston IL (Grad. 2017)
Education: BA (Computer Science) Luther College – Decorah IA (Grad. 2003)
Address: Minneapolis MN
Director of Analytics and Data Science: Revel – Minneapolis, MN (Nov 2017 – Current)
- Created value-driven analytics practice, integrating analytics and predictive modeling with product, sales, professional services, and marketing teams.
- Proposed, negotiated for, and ultimately won approval for standardized member and history data environments which allow for common reporting capabilities and springboards for predictive modeling across campaigns.
- Led BI and data pipeline efforts, establishing connectivity between systems, determining member eligibility, and automating personalized treatments.
- Ingrained scientific techniques (testing, predictive modeling) into product features, ensuring repeatable results and growth.
- Enhanced sales process by building ROI tool, Star Navigator™, which ingests public data from CMS, NCQA, and competitive data from proprietary web scrapers.
Lead Data Scientist: Polaris – Medina, MN (Feb 2016 – Nov 2017)
- Showcase value of Predictive Analytics throughout organization
- Architected and Built Anomaly Detection Part Failure Prediction with Automated Root Cause Analysis of Anomalies
- Digital Optimization with focus on Conversion to Retail
- Market Mix Modeling – determine ROI of Marketing Spend based on historical patterns
Senior Analyst: Olson – Minneapolis, MN (Apr 2013 – Jan 2016)
- 1to1 Analytics
- CRM Strategy
- CRM Campaign Management
- CRM Customer Predictive Modeling
Manager Marketing Analytics: SUPERVALU (Feb 2009 – Mar 2013)
- Improved return by 27% year-over-year by delivering insights and recommendations to CRM leadership and encouraging that actions be followed through.
- Responsible for creating campaign management data flow process and delivering personalized offer assignment files to production vendors.
- Served as primary business owner for successful Unica CRM implementation.
- Effectively partnered with cross-functional groups in merchandising, private brands, digital/email, and shopper marketing to deliver campaign design recommendations, measurement, and improvements.
- Improved efficiency by automating reporting processes, reducing manual labor by 2000 hours annually.
- Established standards for Teradata SQL and SAS across Analytics Department, and served as primary onshore data support. Created on-boarding curriculum for technical contractors and new hires.
- Generated SQL and SAS ad-hoc reports based on business initiatives. SVU databases are multi-billions of records in size and contain primarily customer, transaction, and operational data.
- Managed small onshore team and large offshore team of developers and analysts. Ultimately responsible for quality and timeliness of deliverables created by CRM analytics team.
Project Manager/Senior Programmer: Accenture – Minneapolis, MN (May 2004 – Feb 2009)
- Managed ad hoc analytics team comprised of onshore and offshore analysts
- Project managed several large IT implementations in addition to analytics work.
- As a developer, built Java and .NET web applications with interfaces to SQL Server and Teradata databases. Also, programmed custom ERP applications and ETL processes for clients.
Programmer: Fastenal – Winona, MN (Jul 2003 – May 2004)
- Performance tuned SQL queries in Oracle and built PeopleSoft applications
Masters of Science, Predictive Analytics (MSPA)
Northwestern University – Evanston, IL
Covers a wide range of statistical applications and tools driving the field of predictive modeling, machine learning, and analytics. We used SAS, R, and Python to build complex models from Marketing, Web, Financial, and Social data
Bachelors of Arts, Computer Science
Luther College – Decorah, IA 2003
Focus on computational theory and programming with additional minor in Mathematics. Member of Nordic Choir
- Raspberry Pi
Tableau Qualified – Exam Passed Sept, 2014
Kaggle Competitor – Several active competitions with some competing as an individual and others as a member in a group.
DOMAIN SKILLS & KNOWLEDGE
Strategy, Leadership, and Application
- Data Science
- Cloud Infrastructure – Hosted Solutions and Data Processing (AWS)
- Marketing Analytics
- Merchandising Analytics
- CRM & Loyalty Analytics
- Web Analytics
- Web Scraping and Social Listening
- Social Analysis
- Leading Others and People Development
- AWS (Amazon Web Services)
- Excel Macros (VBA) and Pivot Tables
Hobbies & Interests
- I enjoy being with my family
- Hiking – I enjoy spending time outside, and particularly being able to visit the mountains on occasion.
- Fishing – I like to fish in my home state of Minnesota, and that means ice fishing
- Football (NFL) – Particularly the Vikings (I’m from Minnesota, so I don’t really have much choice!)
- Programming – I enjoy learning new programming methods and applications, particularly when they apply to data science. Currently getting into Raspberry Pi programming and circuitry.
- Data – Large amounts of data, in general, interest me. I enjoy figuring out patterns and trying to explain the world using information that’s available, but not necessarily obvious.