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4 - Mostly Technical [clear filter]
Monday, December 3

9:30am CST

In Four Simple Steps, ETL Clickstream to Data Product APIs (no Engineer needed!)
Many organizations use Clickstream for reporting but struggle to turn that data into valuable Data Products and production-ready ML models. Thanks to Apache Spark and Cloud Computing, it’s not as daunting task as you may think.

I’m going to cover in detail a recipe for you to take your Clickstream, explore it, ETL into a cloud platform, then create/publish data products into a REST API for consumption. This approach is designed to be nimble and iterative, with no back-end engineering needed.

avatar for Josh Janzen

Josh Janzen

Life Time, Inc, Senior Data Scientist
Josh is a fast-moving Data Scientist with experience in both the Retail and Healthcare industries, leveraging various cloud computing platforms.  The key to Josh’s success is the ability to recognize opportunities in data and the skills to capitalize from start to finish.  Josh... Read More →

Monday December 3, 2018 9:30am - 10:15am CST
(6) Xenon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

9:30am CST

Recommender Systems: Algorithmic Fundamentals
Recommender systems have been integrated into a wide variety of commerce, content, and other marketing systems to guide customers and users to products and information they are likely to find valuable. In this talk, we look at a diverse set of techniques for recommendation, from easy-to-implement algorithms for small systems to the high-throughput algorithms used in larger-scale deployments. We focus on understanding the key data and user assumptions behind these algorithms, and in turn where they are most likely to be useful.

avatar for Joseph Konstan, PhD

Joseph Konstan, PhD

Professor, University of Minnesota
Joseph A. Konstan is Distinguished McKnight University Professor and Distinguished University Teaching Professor in the Department of Computer Science and Engineering at the University of Minnesota.  His research addresses a variety of human-computer interaction issues, including... Read More →

Monday December 3, 2018 9:30am - 10:15am CST
(1) Omnitheater (Access via Floor 5 or 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

10:30am CST

Building Private Clouds
NetApp is the Data Authority in hybrid cloud.  We are uniquely positioned with the most innovative portfolio and unsurpassed expertise to help customers create the data architecture and hybrid cloud data services needed to unleash the full potential of their data.

avatar for Rajesh Kapoor

Rajesh Kapoor

Sr. Director, Americas Solution Architect, NetApp

Monday December 3, 2018 10:30am - 11:00am CST
(6) Xenon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

1:00pm CST

Automated, Serverless ETL: Building the Digital Analytics Tributary on AWS
HealthPartners had a data integration problem - their digital data was isolated across numerous sources and didn’t logically map together. Additionally, they didn’t have the infrastructure or automation to move, transform, and load the data into multiple systems. As a result, they turned to Amazon’s cloud to build an automated, scalable solution to ingest data from multiple sources in multiple formats, transform, and load the data into multiple data warehouses. Learn more about the business problems that were solved and the underlying technology that was built to solve this common analytics problem.

avatar for Morgan Catlin

Morgan Catlin

CTO, Valtira
Morgan is an experienced technical architect, focusing on delivering apps and services leveraging the Cloud, and has deployed apps mainly using Amazon Web Services (AWS) since 2008.
avatar for Josh Moe

Josh Moe

Team Lead, Digital Analytics, HealthPartners
Josh is an experienced digital analyst who has spent much of his career at the intersection of Marketing and IT. Josh is currently the Team Lead for the Digital Analytics team at HealthPartners where he manages strategy, implementation, reporting, and analysis for all of HealthPartners’s... Read More →

Monday December 3, 2018 1:00pm - 1:45pm CST
(5) Elements Café (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

1:00pm CST

Building Better Budgets
You suck at budgeting. But it’s not your fault.

In Building Better Budgets I’ll show you how to use Python and open-source packages (pandas, Altair, Fire) to master your cash flow situation.

“How much can I afford to sock away each month for my retirement, will my bank account survive a trip to Mauritius over Christmas, and should I quit my Bubble Tea habit?

We’ll tackle all of these questions and more~

avatar for Max Humber

Max Humber

Author, Personal Finance with Python
Max likes to make code more tangible and relatable. He is the author of ‘Personal Finance with Python’, was the second Data Engineer at Wealthsimple, and the first Data Scientist at Borrowell. He’s delivered presentations on programming, Python, and data in six countries.

Monday December 3, 2018 1:00pm - 1:45pm CST
(6) Xenon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

2:00pm CST

Advancing data by unlocking your Mainframe data
In an ever-changing competitive landscape, companies today are constantly looking for a competitive edge. The ability to analyze all your data across your entire enterprise is critical. Many organizations turn to data warehouses or data lakes for this job.  But, if your organization has a mainframe it can pose unique challenges. Organizations with mainframes have decades of information locked away. Running analytics on your mainframe can be prohibitive due to high cost or limited resources or both.

In this session, we’ll explore how you can unlock decades of data sitting in your mainframe. We’ll discuss how to leverage that data to do business analytics, learn insights, examine trends and much more.

avatar for Rochelle Grubbs

Rochelle Grubbs

Sr. Manager Sales Engineering, Syncsort

Monday December 3, 2018 2:00pm - 2:30pm CST
(3) Discovery Hall (Floor 4) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

2:00pm CST

Understanding Public Transit Rider Satisfaction using Clustering and Bayesian Regression
Using Metro Transit's 2016 customer satisfaction survey, we applied a clustering algorithm to segment transit riders based on the attitudinal questions. A Bayesian logistic regression is then applied in order to profile each of the clusters.

avatar for Kim Eng Ky

Kim Eng Ky

Data Scientist, UnitedHealthcare
Kim is currently a data scientist at UnitedHeatlhcare. Prior to joining UnitedHealthcare, she worked in the Research & Analytics team at Metro Transit.  
avatar for Eric Lind

Eric Lind

Manager, Research & Analytics, Metro Transit

Monday December 3, 2018 2:00pm - 2:30pm CST
(2) Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

2:45pm CST

Anomaly Detection from A to Z
Behold! The heartbreaking! The hair-raising! Values too big or too small to believe! Hear about the messy science of anomaly detection! Walk through the nuances of different kinds of anomaly and outlier detection methods! And for a limited time only, you too can see how to highlight truly SHOCKING events!

Note: Real data and real code provided; explore on your own afterward.

avatar for John Hogue

John Hogue

Lead Data Scientist, General Mills
John is Lead Data Scientist at General Mills, Social Data Science co-founder, and habitual MinneAnalytics volunteer.

Monday December 3, 2018 2:45pm - 3:30pm CST
(4) Argon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

3:45pm CST

Mission Impossible: Catch Credit Card Thieves
The purpose of the presentation is to show the modeling building process for a predictive model for credit card frauds, understand how the model works, and acknowledge the limitations of the model. Large dataset manipulation, sampling methods for fraud dataset, and multicollinearity problems will be discussed as well.

avatar for Adam Elliott

Adam Elliott

President, ID Insight
avatar for Somang Han

Somang Han

Data Analyst, ID Insight
Somang (So) is a recent college graduate from St. Olaf College. She is very interested in the intersection of risk management and data science. Currently, she works as a Data Analyst at Amplifon, consolidating budget reports over years by Excel, assisting for budget forecasting for... Read More →

Monday December 3, 2018 3:45pm - 4:15pm CST
(6) Xenon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

3:45pm CST

Sniff Out, Then Snuff Regression to the Mean
Good analytics leads to better decisions. Great analytics pushes beyond improved choices to enhance how we view a phenomena. Regression to the mean consistently hinders good analytics. Regularly recognizing (sniffing) and eliminating (snuffing) regression to the mean will change how you evaluate both programs and your coworkers behaviors.

In this talk, Jason will outline what analyses are most susceptible to regression to the mean,  (i.e. reversion to mediocrity) and how they can be reworked to provide more accurate measurement. Three real world examples will be weaved into this exploration along with perhaps the most important lesson - avoiding Daniel Kahneman’s regression fallacy.

avatar for Jason McNellis

Jason McNellis

Research Director, Gartner
Jason is an analytic strategist and researcher who focuses on identifying systematic improvements that increase analytic impact. His experience and research agenda focus on helping marketing, customer experience and customer insight professionals leverage data, technology and advanced... Read More →

Monday December 3, 2018 3:45pm - 4:15pm CST
(2) Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102