Preethi Bojja is Sr. Data Scientist in the Enterprise Business Intelligence group. She has 5 years of hands-on industrial experience with expertise in data driven ML solutions. In her current role, she has worked on risk modeling, unsupervised clustering, AI methods, etc. Prior to working at Comcast, Preethi was an intern at Volvo Groups, IHG while earning her Master’s degree from Georgia State University specialized in Data Mining and Analytics. She was also a Business Analyst at Cognizant. Preethi is a tech-enthusiast and has done projects on NLP, social-media analysis. She is President of Toastmasters at the Comcast Philadelphia Campus.

Jeff Emberger is a Technical Lead at Vanguard working on application development that focuses on leveraging the cloud to develop new or existing applications. He also has worked on enabling artificial intelligence/machine learning projects using the cloud. Prior to this, he spent the bulk of his time at Vanguard working on mainframe-based projects. He has worked at Vanguard for 20 years and started at Vanguard right out of college. He graduated with a degree in computer science from Millersville University and a graduate degree in software engineering from Penn State University. He currently holds 2 AWS certifications (associate developer and associate solutions architect). He is passionate about trying to take new cloud services and develop reusable frameworks to use them. In his free time, he enjoys traveling and also playing tennis/volleyball.

Justin Federico is a Senior Software Developer at Vanguard working on cloud based solutions for application development. He has also recently worked on designing and developing artificial intelligence and machine learning projects. Prior to this he has spent most of his career developing various client facing Java applications. Justin started his career at Vanguard right after college, 8 years ago. He graduated with a degree in Computer Science and Music Performance from Arcadia University, and holds an AWS certification as an associate developer. He is passionate about designing and architecting simple solutions to solve complex technology problems. In his free time he loves attending anime conventions, watching live concerts, traveling to Japan, playing bass guitar, and video games.

Hongcheng Wang manages the Xfinity Home Intelligence team and aiQ research team. He and his team focus on developing scalable machine/deep learning and computer vision technologies for smart home video and IoT intelligence, and predictive and diagnostic intelligence for customer service. Before Comcast, he worked for United Technologies Research Center as a Principal Investigator on UAV perception, machine vision and video surveillance applications. He has published 40+ technical papers, and holds 40+ patents and patent applications (24 issued). He has been serving as an Associate Editor (AE) for the Visual Computer Journal by Springer since 2012, and Area Chairs or industry Chairs for a number of conferences. He holds a PhD in computer engineering from the University of Illinois at Urbana-Champaign (UIUC), and he is a senior member of IEEE.

Diana Shaw is an analytics expert and thought leader who heads a team of data scientists in creating practical, effective AI applications. She focuses on helping customers apply advanced analytics, machine learning, natural language processing and forecasting to solve their most complex problems. Over the past 19 years, Diana honed her skills mining data, troubleshooting problems and developing technical solutions, including streaming IoT solutions.

Diana regularly leads discussions with executives, business analysts and data scientists around the globe, consulting on analytics strategies and broader technology objectives. She has a Bachelor’s in metallurgical engineering, an MBA and a Master’s in analytics. Her experience spans steelmaking, banking, automotive manufacturing, bridge construction and building controls. She is passionate about getting more girls to code and pursue careers in STEM.

Sudhir Borra is an enterprise architect working on building AI models for our video ecosystem at Comcast. He has several years experience in data science, and currently leads devops teams in building micro services architectures in AWS. Sudhir holds a Masters degree in Computer Vision and AI.

Joe Morrison leads business development for projects related to imagery analysis and visualization at Azavea, a Philadelphia-based software firm that builds custom web applications for civic and social good. In the past few years, he has had the chance to work with customers ranging from Fortune 500 companies to small startups using satellite, aerial, and drone imagery to tackle all kinds of fascinating problems. Prior to his current role, he worked on an open source software tool that helps cities across the U.S. map their street trees and calculate the total environmental benefit of urban forests. He shares ideas related to the latest trends in machine learning, drone and satellite tech, and his two indoor cats on Twitter at @mouthofmorrison.

Sepideh Seifzadeh is a Data Scientist/Machine Learning Engineer on IBM Data Science Elite team, based in San Francisco. After completing her PhD at the Center for Pattern Analysis and Machine Intelligence at University of Waterloo, she started her journey as a Big data & Analytics consultant. She really enjoys being on the DSE team and applying AI in real world applications to help customers on their Data Science journey. Sepi is a speaker at Conferences, Meetups and Summits and she is passionate about sharing the recent trends in technology with everyone. She mostly uses open source tools in Watson Studio, with her recent passion being around detecting model bias using Watson Open Scale to ensure Machine learning models provide fair decisions with trust and transparency. She has a passion for technology and always tries to keep herself up to date about the recent trends and innovations in the field.

Vidya Setlur is a staff research scientist in the Tableau Palo Alto office. Prior to joining Tableau, she worked as a principal research scientist at the Nokia Research Center for 7 years. She earned her doctorate in Computer Graphics in 2005 at Northwestern University. Her research interests lie at the intersection of natural language processing and computer graphics. In particular, the goal of her work is to develop new computer algorithms and user interfaces that enhance visual communication and understanding of the semantics of the underlying data.

Since joining Tableau Research in 2012, Vidya has worked on various projects and prototypes involving semantics and visual representation such as semantic icon encoding and semantically resonant color palettes. She has also been interested in exploring analytical conversation using natural language interaction via a system called Eviza. Subsequently, as part of productizing Tableau's natural language feature, Ask Data, she moved to engineering and was a manager on the Natural Language Team at Tableau Software. There she focused primarily on developing the theory and engineering of user intent in analytical conversation to provide analytically useful interpretations of users' utterances among other things. With the first release of the feature and the second release in Beta, she has moved back to research to explore medium and longer term natural language initiatives at Tableau.

Arpit Mathur is a Principal Engineer at Comcast Labs where he is currently working on a variety of topics including Conversational Technologies, Affective Computing and Blockchains, and decentralized services. Arpit has worked extensively on Android and iOS applications, Virtual Reality apps, as well as, using web technologies like JavaScript, HTML, and Ruby on Rails. Prior to his current role, he was with the User Experience team as a Creative Technologist.

Arpit was recognized as one of Philadelphia’s 10 Tech Disruptors of 2017 by the Philadelphia Business Journal. He co-founded the Android Philly developer group (which later became an official Google Developers Group) that he has been helping run since 2011. Arpit holds a Masters degree in Computer Engineering from Rutgers University and an Undergraduate degree from the University of Madras in Electronics and Instrumentation.

Nikhil Kishore is a Software Developer at Comcast with an extensive background focused on improving the customer experience. He is currently working with the AiQ team to develop a machine learning platform that will scale for billions of events a day in real time to create a better customer experience. He also worked on a project to design and develop a platform to send real time notifications to customers.

Nikhil holds a Master’s degree in Applied Data Science from NYU and a Bachelors in Computer Science from Brunel University London. He is passionate about improving the customer experience by developing scalable AI solutions.

Matthew Wander is a Data Scientist at TD Bank. Prior to switching his career to data science, he was a professional research scientist specializing in theoretical geochemistry.His particular interest was the nature of chemical bonding and how it behaved. the goal of this work was to create better models of chemical reactivity for modeling on a computer.

Since switching his career to Data Science, he has become something of a generalist. At TD Bank, he focuses on Big Data, but his passion is reinforcement learning. In his personal time, Matthew enjoys brewing his own beer and finding really weird things to study with data science techniques.

Sunil is a Senior Manager of Product Management in AI & Discovery group within Comcast. Since joining Comcast in 2012, Sunil has had variety of roles in product and engineering. In his current role, he is leading the effort to use Voice and Natural Language Processing to digitally engage with customers. Previously, he was instrumental in developing and launching Electronic Sell-through for Comcast.

Sunil is passionate about teaching and is a volunteer mentor and tutor at Philadelphia Futures. His educational background includes an MS in Electrical/Telecom Engineering from Drexel University and an MBA from Columbia Business School. He has a BE in Electronics and Electrical Communication from Thapar Institute of Engineering & Technology, India.