Saturday, November 16, 2019, 175 Forest St, Waltham, MA 02452 Bentley University.
Registration fee increases on November 7, 2019.
Schedule of Events
|8:30--9:15AM||LaCava 3rd floor||Check-in and coffee|
|9:15--9:30AM||Executive Dining Room||Opening Remarks|
Donna Maria Blancero, Bentley University's Provost
Abidemi K Adeniji, Chair of NESS-NextGen Committee (University of Connecticut)
|9:30--10:30AM||Executive Dining Room||Keynote #1 - Sponsored by Hartford Steam Boiler|
Chief ML Scientist and Head of Machine Learning for SIG
UC Berkeley Data Science Faculty
Director of Phronesis ML Labs
Title: Evaluating Fake News with In-Context NLP Deep Learning
Chair: Abidemi K Adeniji, Chair of NESS-NextGen Committee (University of Connecticut)
|10:40--12:10PM||Parallel panel sessions|
|325ABC||Session 1: Business Analytics in Practice|
Chair: Ved Deshpande (eBay)
Cesar Hernandez (TripAdvisor)
Nathan Lally (Hartford Steam Boiler)
Rebecca Qu (Tufin)
Shingo Goto (University of Rhode Island)
||Session 2: Data Science Challenges|
Chair: Moinak Bhaduri (Bentley University)
Reagan Mozer (Harvard University/ Bentley University)
Ben Lohnes (Epsilon)
Marco Marabelli (Bentley University)
Qingyang Zhang (University of Arkansas)
|1:20--2:50PM||Parallel panel sessions|
|325ABC||Session 3: Careers in Data Science|
Chair: Jing Wu (University of Rhode Island)
Kathy Ziff (Travelers)
Joe Dery (EMC/Dell)
Naitee Ting (Boehringer-Ingelheim)
Andrew Warner (Liberty Mutual)
Session 4: Workshop|
Basic Introduction to Tableau
Chair: Moinak Bhaduri (Bentley University)
Ekaterina (Kat) Cleary (Bentley University)
|3:00--4:00PM||Executive Dining Room||Keynote #2 - Sponsored by MassMutual|
Professor of Biostatistics at the Harvard T.H. Chan School of Public Health
Co-Director of the Harvard Data Science Initiative
Title: Can Data Science Save the Environment?
Chair: Greg Vaughan (Bentley University)
|4:00--5:00PM||Danielson||Poster session & Networking reception |
Sponsored by MassMutual
Gregory Vaughan, Event Organizer
We are pleased to announce that there will also be an opportunity for sponsors to set up interview sessions throughout the day with attendees. Interested sponsors should check out the sponsorship details. Interested attendees should opt in for sponsorship contact and upload their resume/CV during registration.
Did you do an interesting project recently? Then enter the poster competition
for a chance to show what you did and for a chance to win a cash prize! You can
present individually or as a group and have total freedom in choosing the
topic as long as it relates to data science.
We will have a total of 3 panel sessions plus 1 hands-on workshop running in the two parallel sessions. We will later decide which sessions to run in parallel to each other based on attendee interest, expressed upon registration.
The four sessions are:
- Business Analytics in Practice: This session will feature 3-5 speakers that will present on a business challenges and how they
used data science or statistical techniques to address the challenge. The focus will be on how
statistics and data science can be used to address questions that arise in business settings. Q&A
session to follow.
- Challenges in Data Science: This session will feature 3-5 speakers addressing open questions in data science and statistics.
For example, data ethics, reproducibility, visualization, leading with data science / statistics,
communication, education, etc. Q&A session to follow.
- Careers in Data Science: This session will feature 3-5 speakers that will present broadly on tips for finding jobs,
interviewing well, data science applications, preparing for the job market, how they came to
their position, job search timelines, etc. Q&A session to follow.
- Workshop: Data visualization is an indispensable skill for current business analysts in both academia and industry.
In the world of Big Data, the ability to effectively present information and derive actionable insights is invaluable for anyone entering
the workforce. This workshop provides an introduction to one of world’s most popular visualization platforms, Tableau. Topics covered include:
connecting to data, sorting, changing formats and aggregation, grouping, filtering, mapping, basic chart types and sharing. By the end of the
workshop participants will be able to create a Tableau Dashboard visualizing Airbnb data with a shareable link. This is a hands-on workshop,
so participants are encouraged to bring their laptops. A free academic license and free trial of Tableau Desktop is available through
Data Science Day promotes the free expression and exchange of ideas. All participants agree to abide by the American Statistical Association's conduct policy listed here.