This is an irregular series that aims to meet on the last Friday of the month at 3:30 in 140 Bardeen.
The talks are public and should be accessible to anyone interested in data science. Join us! Please invite others!
Follow on twitter: @DS3madison.
contact: karl rohe at stat dot wisc dot edu (remove the spaces and substitute the “at” and “dot”. )
Notice the non-standard room and time!
Speaker bio: Anuj Marfatia is the Director of Business Analytics at Brunswick Corporation, a $4.5B public company that designs, manufactures, and markets recreation products worldwide.
Anuj joined Brunswick in 2016 after seven years with IBM, working with various advanced analytics technologies and helping organizations gain value from it. Prior to IBM, he worked for Diamond Management and Technology Consultants (now part of PWC). Anuj started his career in the automotive industry, working in various product development, manufacturing, and client-facing roles.
In his current role, Anuj will be developing and driving a data-driven culture within the organization by establishing processes and technologies for Brunswick to quickly maximize the potential of analytics.
Anuj holds a M.B.A from The University of Chicago – Booth School of Business and a Bachelor of Science in Mechanical Engineering from the University of Illinois at Urbana-Champaign.
Anuj and his wife, Kinjal, live in Naperville, IL with their two young daughters Jayna (5 years) and Aashi (2 years). Anuj is an avid sports fan of Chicago, especially the Cubs.
2/2 Grant Weller. Research statistician at Savvysherpa.
speaker: Megan Sheffer-Czuta. Assistant Director of Advanced Analytics at Morthwestern Mutual.
Hold the phone - Northwestern Mutual (NM), a traditional life insurance and financial planning company, has a data science practice?! Megan will set the stage by sharing a bit about Northwestern Mutual, highlight data science happenings and describe how we’re working agile with multidisciplinary teams.
Bio: Dr. Megan Sheffer-Czuta is a Business Advisor for Northwestern Mutual (NM). Megan is responsible for managing the executive level relationships within business areas on behalf of the Enterprise and Data Analytics vertical. She works to provide strategic guidance and direction to partners by helping them to identify analytical opportunities with greatest financial benefits. Since joining NM, Megan has successfully led the Digital Analytics Research Team (E.g., web analytics) and the Advanced Analytics Team (predictive analytics). Prior to joining NM, Megan served as the Director of Clinical Analytics for the Wheaton Franciscan Healthcare System (18 hospitals, three long-term care facilities, and 70 clinics) now part of the Ascension system. Megan’s career started out as a research scientist for the University of Wisconsin-Madison’s School of Medicine and Public Health. Her research focused on studying population based approaches to smoking cessation. Megan earned her doctoral degree in Oral Sciences from the University of Iowa and was also awarded a National Institutes of Health Training Grant. She also holds a Master’s in Public Health from the University of Wisconsin-La Crosse and a Bachelor of Science degree in Zoology from the University of Wisconsin-Madison. Megan is a co-organizer of Milwaukee’s Big Data and Advanced Analytics MeetUp and the Midwest Chapter of the Women in Big Data.
Speaker: Charles Franklin, UW Madison emeritus and past president and an elected Fellow of the Society for Political Methodology. Polls and Votes, @votesandpolls.
The 2016 elections saw the rise of internet polls, large modeling efforts and critical errors in key states. What worked and what failed? How well did non-probability samples compare with high quality probability designs?
Speaker: Tim Grilley is a recent graduate student from our department. He is currently a Manager of Data and Analytics at Nordic Consulting in Madison.
Abstract: Health care delivery is constantly evolving. It is one of the most complex service offerings in the modern marketplace and represents over 10% of the GDP per year. Total management of health care delivery spans many large players including: the federal and state governments, pharmaceutical and devices industry, insurance and HMO’s, individual and grouped providers. These represent strong lobbies and vested interests.
Health care delivery in the United State is changing from a fee for service to value based reimbursement model. Over the last 15 years health care organizations have been installing electronic health record and member management systems; with a goal to increase data transparency and collaboration efficiency for care delivery. This has also created petabytes of information ripe for analysis to streamline care. Despite this increased data availability, health care operational delivery is analytically 10-20 years behind other sectors (Manufacturing, Finance, Department).
This talk will highlight:
Nordic and several other health care firms in the area are currently looking to hire more Data Scientists. Tim will talk about these opportunities. People looking for jobs should come! 4/28, 3:30 in 133 SMI.
Speaker: David Shor (@davidshor), Senior Data Scientist at Civis Analytics.
Abstract: Data Science is increasingly involved in nearly every decision that modern campaigns make. Learn more about how campaigns use statistics and math in order to make decisions, what happened in 2016, and new challenges moving forward.
Bio: At Civis, David develops new methodologies and workflows for projects spanning forecasting, predictive modeling, and experimentation. One of the youngest members of the 2012 Obama campaign, David helped create the campaign’s forecasting model, which accurately predicted every single electoral vote and predicted President Obama’s vote share to within a single percentage point in eight of the nine battleground states. David entered university at age 13, studying mathematics at Florida International University, and later completed graduate work at Moscow’s Higher School of Economics and Princeton University.
Michael Bertin (@bertinbertin), a part-time analyst for the Chicago Fire, takes a look at what statistics may or may not tell you about soccer and whether you can actually gain insights that give you an advantage on the pitch.
Michael Bertin is a part time analyst for the Chicago Fire soccer team. He is also a published author and has contributed to Deadspin, ESPN, 538, Slate and Wired among other publications. He holds a BA from the University of Notre Dame, an MA from the University of Texas at Austin and an MBA from the University of Chicago.
Andrew Thomas PhD, lead hockey research for the Minnesota Wild.
While the National Hockey League has a reputation for being behind the other major sports in terms of data sophistication (particularly baseball and basketball), the advances being made by professional and amateur data gatherers in recent years have suggested new ways of understanding the game. How the NHL compares to other sports illustrates why and how new data may be useful to front offices and coaches.
In this talk, I will discuss the advances in data and theory in the public hockey community in the past decade and how they line up with similar advances in other major sports, notably the efforts of community members to crowdsource the data collection process for public consumption. I will discuss the major data-collection and statistical challenges that individuals and organizations face and how they are set up to overcome these with the promise of new data sources.
Bio: Andrew C. Thomas has served as Lead Hockey Researcher for the Minnesota Wild since January 2016 after being on the faculties of Carnegie Mellon University and the University of Florida. He earned a PhD in Statistics from Harvard University in 2009.
Joe Tenini PhD, Data Scientist at Epic, Inpatient Predictive Analytics R&D.
Abstract: What would you do if you knew every medication administered, procedure performed, lab resulted, and diagnosis made for 190 million patients? What sort of questions could you ask? What sort of problems could you take on? What if you could deliver your insights directly to the patients and providers who need them?
For data scientists at Epic, these are questions we ask ourselves daily. In this talk we’ll discuss opportunities to put data to work in healthcare, the tools and technologies involved, and some specific challenges and solutions that come up during day to day work. This will be an interdisciplinary talk. Students and practitioners from all fields and experience levels are encouraged to attend and bring questions.
Bio: Joe Tenini joined Epic after receiving his PhD in mathematics from the University of Georgia. His current work centers on the modeling of patient deterioration and the development of early warning systems in the acute care setting.
Michael Clutterbuck, the Director of Basketball Analytics at the Milwaukee Bucks and Seth Partnow, the Director of Basketball Research at the Milwaukee Bucks.
Abstract: In this presentation, we will discuss data science through the field of professional basketball. However, many of the topics covered will have wider applications. We will discuss our approach to basketball analysis using specific examples of data design, automation, and research. We will also discuss the importance of succinctly communicating the analysis and visualizing conclusions. Following the presentation, we will allow time for Q+A.
Future potential speakers: Matt Malloy (Madison alumni!), Comscore