August 14-15 | 
Boston, MA

Speakers

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Anand Venugopal
AVP and Business Head
Impetus Technologies

Anand Venugopal heads Product Strategy for StreamAnalytix - an open source powered Enterprise grade Streaming Analytics platform developed by Impetus Technologies. He has 20 years of software innovation and business development experience in the Enterprise and Telco space and is specifically passionate about solutions based on open source technology stacks.

Day One

Tuesday, August 14 2018

11.45 | Business Use Case: Big Data enables advanced analytics and real-time applications

Ravishankar Rao Vallabhajosyula
Head of Data Science
Impetus Technologies

Ravi is a Senior Data Scientist at Impetus Technologies. He leads the data science practice team in the US and works closely with our enterprise customers to turn complex data into critical information and knowledge that can be used to make data-driven business decisions. Ravi plays an instrumental role in architecting end-to-end ML-driven products/solutions and getting them live into production. His areas of expertise relevant to anomaly detection includes machine learning, natural language processing, data mining, artificial intelligence, graph analytics and big data technologies.

Day One

Tuesday, August 14 2018

11.45 | Business Use Case: Big Data enables advanced analytics and real-time applications

Cassie Kozyrkov
Chief Decision Scientist
Google

As Chief Decision Scientist at Google Cloud, Cassie Kozyrkov advises leadership teams on decision process, AI strategy, and building data-driven organizations. She works to democratize statistical thinking and machine learning so that everyone - Google, its customers, the world! - can harness the beauty and power of data. She is the force behind bringing the practice of Decision Intelligence to Google and she has personally trained over 15,000 Googlers in machine learning, statistics, and data-driven decision-making. Before her current role, she served in Google's Office of the CTO as Chief Data Scientist. Prior to joining Google, Cassie worked as a data scientist and consultant. She holds degrees in mathematical statistics, economics, psychology, and cognitive neuroscience. When she’s not working, you’re most likely to find Cassie at the theater, in an art museum, exploring the world, or curled up with a good novel.

Day One

Tuesday, August 14 2018

09.00 | Opening Keynote: From Science to Leadership

Chris Peterson
Vice President Data Science
Capital One

Chris Peterson is a Vice President leading the Data Science organization for Capital One’s Card business responsible for developing and maintaining the risk, fraud, valuation, and marketing models used to support Capital One’s $100B Card portfolio.  Chris also leads the Data Science recruiting process across the enterprise. Chris joined Capital One in 2006 and has held a variety of roles leading efforts to modernize the core risk, valuations, testing, and data infrastructure.  In 2012, he moved to the Model Risk Office to support the INGD and HSBC integration efforts and became the Assistant Chief Model Risk Officer overseeing model validation activities across Card, Bank, Auto, Mortgage, Enterprise Services, and Anti-Money Laundering divisions.  Prior to joining Capital One, Chris worked at Intel, 3M, and the National Security Agency.

Day One

Tuesday, August 14 2018

14.20 | Panel Discussion - Designing, Structuring, Organizing & Growing a Team

09.40 | Transforming Organizations Through Data Science

Juergen Hammer
Global Head of Data Science & Pharma Research
Roche

Juergen Hammer, PhD, MBA, has been Global Head of Data Science at Roche Pharmaceuticals since 2014. Juergen joined Roche in Europe as group leader in Autoimmune Diseases. In the late-90s he moved to the U.S. to build & lead Roche’s Functional Genomics function. He became Head of Genetics, Genomics and Global Bioinformatics, and later Global Head of Research IM. Juergen has also been Informatics Site Head for Research and Early Development at the Roche NJ and NYC Sites. Additionally, Juergen founded and led the global In Silico Sciences Function between 2005 and 2009, a precursor to Data Science combining computational disciplines to directly support drug projects via advanced analytics. Juergen earned an MS at the University of Heidelberg, a Ph.D. at the Max Planck Institute for Immunology, and an MBA at the Fuqua School of Business, Duke University. After spending a year at the University of Zurich, Juergen completed his Master’s thesis at Yale. Juergen is author of 80+ publications and developed the original TEPITOPE algorithm.

Vijaykumar Gandapodi
Global IT Head Data Science/AI
Coca-Cola

Dr. Vijay Gandapodi, globally heads data analytics/data science/AI for The Coca-Cola Company’s Marketing/Strategy & Insights/Public Affairs communication & sustainability divisions. In his current role he is responsible for the data science/AI vision and data strategy, he is also accountable for large portfolio of analytical products and global databases for 200+ countries.  Vijay also leads the Machine learning projects, data management platforms (look like model user segmentation), Azure data lake consolidation and NLP projects using social media data.  He has architected recommendation engines using deep learning algorithms and guided various data discovery Azure Machine Learning projects for the organization. Prior to joining The Coca-Cola Company, Vijay led the data strategy for Cox media group and provided thought leadership to the data science and DMP projects. He also led a very large CMS implementation in AWS and was responsible for Architecture, Development, Content databases, and Technology operations. Before joining Cox, Vijay worked at E*TRADE Financials for 15 years and was the head of International IT where he managed 70+ software/database engineers, he was also responsible for International technology vision, strategy, delivery and operations.

Day One

Tuesday, August 14 2018

12.15 | Panel Discussion - Business Ownership of Data Science Within the Corporate Structure

Day Two

Wednesday, August 15 2018

13.40 | Panel Discussion - Evolving Data Science Infrastructure & Technology Requirements

Luis Capelo
Head of Data Products
Forbes

Luis Capelo loves to create data science products. His mission is to build systems that allow for humans and machines to collaborate, creating outcomes that greatly surpass those generated by either humans or machines working in isolation. Luis leads Forbes Media’s Data Products team. The team is responsible for investigating how Forbes articles are distributed and consumed, identifying patterns that are then used to improve business metrics via the creation of software products. The teams solutions include an AI-agent that collaborates with writers, a swarm of bots that help Forbes’ editors distribute content, and a new analysis tool that traces and predicts how Forbes’ content is shared.

Day Two

Wednesday, August 15 2018

10.10 | Panel Discussion - Measuring Value & ROI of Data Science

09.40 | Business Use Case - Beyond Efficiency Savings: Utilizing Data Science to Drive New Product Development

Franziska Bell
Senior Data Science Lead
Uber

Franziska Bell is a Senior Data Science Manager on the Platform Team at Uber, where she founded the Anomaly Detection, Forecasting Platform and Natural Language Platform teams. In addition, she leads Applied Machine Learning, Behavioral Science, Experimentation, Segmentation Platform, Movement and Customer Support Data Science.  Before Uber, Franziska was a Postdoc at Caltech where she developed a novel, highly accurate approximate quantum molecular dynamics theory to calculate chemical reactions for large, complex systems, such as enzymes. Franziska earned her Ph.D. in theoretical chemistry from UC Berkeley focusing on developing highly accurate, yet computationally efficient approaches which helped unravel the mechanism of non-silicon-based solar cells and properties of organic conductors.

Day Two

Wednesday, August 15 2018

15.10 | Business Use Case - Uber’s Intelligent Insights Assistant

13.40 | Panel Discussion - Evolving Data Science Infrastructure & Technology Requirements

Kishore Aradhya
Senior Analytics Manager
Adobe

Short bio for the event website. Kishore Aradhya currently leads a team of data scientists and ML engineers at Adobe helping influence executive decision making through key data insights and experimentation. In addition, we are also involved in creating data products for both internal and external customers in Document Cloud business at Adobe. In the past, I have led engineering organizations at data analytics startups in addition to supporting large multi-billion dollars ecommerce applications. “Whilst there are a lot of general data science events, there isn’t one focused on leadership and how to build and drive effective data science teams. The DSL Network is an exciting opportunity to create a platform for meaningful discussion”

Day One

Tuesday, August 14 2018

10.20 | Panel Discussion - Aligning Data Science with Business Culture

Day Two

Wednesday, August 15 2018

14.10 | Leadership Story - From Design to Implementation: Engaging Senior Executives in Data Science

Haftan Eckholdt
Chief Data Science Officer
Plated

Haftan Eckholdt, PhD. is Chief Data Science Office at Plated.  His career began with research professorships in Neuroscience, Neurology, and Psychiatry followed by industrial research appointments at companies like Amazon and AIG. He holds graduate degrees in Biostatistics and Developmental Psychology from Columbia and Cornell Universities. In his spare time he thinks about things like chess and cooking and cross country skiing and jogging and reading.  When things get really really busy, he actually plays chess and cooks delicious meals and jogs a lot.  Born and raised in Baltimore, Haftan has been a resident of Kings County, New York since the late 1900's.

Day One

Tuesday, August 14 2018

10.20 | Panel Discussion - Aligning Data Science with Business Culture

Day Two

Wednesday, August 15 2018

13.20 | Business Use Case - Beyond “Data Science”: From Product Development to Demand Management

Vishal Morde
Vice President Data Science
Barclays PLC

Vishal Morde works as ‘Vice President - Data Science’ at Barclays where he serves as a catalyst for developing new analytic capabilities in Big Data, Machine Learning and Data Science. He leads advanced analytics initiatives for building state-of-the-art predictive models and developing actionable consumer insights using modern analytic tools/methodologies. In addition, Vishal is responsible for driving Barclays’ Data Strategy and Innovation Agenda to develop long-term competitive advantage in credit cards and consumer finance. Vishal has overall 15+ years of experience in Financial Services. Prior to joining Barclays, he worked at Discover Financial Services and HSBC, where he held leadership positions in Credit Risk, Marketing Analytics, and Pricing Strategy. Vishal has a bachelor's degree in Industrial Engineering from University of Mumbai (India), a Master of Science in Industrial and Systems Engineering from Virginia Tech and an MBA from Kellogg School of Management.

Day Two

Wednesday, August 15 2018

15.50 | Data Science 2019 Onwards: Trends, Predictions & Disruption

10.10 | Panel Discussion - Measuring Value & ROI of Data Science

Jenifer Jones-Barbato
Executive Director Enterprise Data Science
Estée Lauder

Jenifer Jones has spent the last fifteen years embedded in the world of data science and data innovation to bring advanced analytics, supported by machine learning, to the forefront of how to drive business direction. She is an expert on translating business need into data driven solutions, and representing that back through visual story telling to focus recipients on key actions that will push disruptive change. This is all done through her extensive knowledge and experience in statistical analysis, data mining, data warehousing, master data management, business process design and end user report development. During her careers in IBM, Deloitte, and Estee Lauder she worked with BI applications including Hyperion Essbase, Microsoft Analysis Services, SAP Business Objects; ERP processes including Order to Cash, Demand to Build; ERP applications including SAP and Microsoft Dynamics SL; and programming languages including R, Python, and SQL. Jenifer has a graduate degree in Operations Research and Statistics and an undergraduate degree in Industrial Engineering from Rensselaer Polytechnic Institute.

Day One

Tuesday, August 14 2018

12.15 | Panel Discussion - Business Ownership of Data Science Within the Corporate Structure

Kevin Troyanos
SVP Analytics & Data Science
Saatchi & Saatchi Wellness

Kevin Troyanos leads the analytics & data science practice at Saatchi & Saatchi Wellness. He has focused his career within the healthcare marketing analytics space, empowering healthcare marketers with data-driven strategic guidance while developing innovative solutions to healthcare marketing problems through the power of data science. He's worked to measure, predict, and optimize marketing and business outcomes across personal, non-personal, digital and social channels. He's also led engagements with brands that span all stages of the product life cycle, with a particular focus on established brands. Kevin's role is to guide the departmental vision and lead innovation initiatives, effectively positioning marketing analytics as a competitive differentiator and organic growth driver for the agency at large.

Day One

Tuesday, August 14 2018

16.50 | Closing Remarks

14.20 | Panel Discussion - Designing, Structuring, Organizing & Growing a Team

10.20 | Panel Discussion - Aligning Data Science with Business Culture

08.50 | Chair’s Opening Remarks

Hemant Joshi
Chief Technology Officer
ClaimGenius.com

Day One

Tuesday, August 14 2018

14.00 | Leadership Story - Managing Global Data Science Teams

10.20 | Panel Discussion - Aligning Data Science with Business Culture

Anne Buff
Board Director
Data Governance Professionals Organization

Anne Buff is the VP of Communications for the Data Governance Professionals Organization (DGPO) and an Advisory Business Solutions Manager for SAS. As a speaker and author she specializes in the topics of analytic strategy and culture, governance, change management, and fostering data driven organizations. Anne has been a specialist in the world of data and analytics for 20 years and has developed courseware for a wide range of technical concepts and software including, SAS® Data Management. In her current role, she leverages her training and consulting experience and her data-savviness to lead best practices workshops and facilitate intra-team dialogs to help companies realize their full data and analytics potential. “This event will highlight the critical role the data scientist plays in the future success of all businesses demonstrating that it is not only important to understand how to capitalize on the talents and strengths of data science, but to also be keenly aware of the risks and challenges as your company becomes more digitally aware and data driven."

Day Two

Wednesday, August 15 2018

16.30 | Chair Closing Remarks

13.40 | Panel Discussion - Evolving Data Science Infrastructure & Technology Requirements

09.10 | Keynote - Ethics, Data Ownership & Privacy in Data Science

09.00 | Chair's Opening Remarks

Tao Wu
Principal Data Science Manager
Microsoft

Tao Wu is a Principal Data Science Manager at Microsoft’s AI Platform group.  He leads a group of data scientists and architects and helps customers adopt cloud, machine learning, and big data technologies. His team was also instrumental in integrating open source data science tools such as Jupyter and Spark into Azure.  Prior to his current role, Tao was a technical leader at Nokia, where he led the development of the company’s first big data platform and helped build its data science practice. Earlier in his career, Tao held research positions at Nokia Research Center and MIT CSAIL.

Day Two

Wednesday, August 15 2018

10.10 | Panel Discussion - Measuring Value & ROI of Data Science

David Robinson
Chief Data Scientist
DataCamp

David Robinson is the Chief Data Scientist at DataCamp, where he guides analysis and research to help teach the next generation of data scientists. He is the co-author with Julia Silge of the tidytext package and the O’Reilly book Text Mining with R. He is also the author of the broom, gganimate, and fuzzyjoin R packages and of the e-book Introduction to Empirical Bayes. He writes about R, statistics and education on his blog Variance Explained, as well as on Twitter as @drob.

Day One

Tuesday, August 14 2018

12.15 | Panel Discussion - Business Ownership of Data Science Within the Corporate Structure

Day Two

Wednesday, August 15 2018

15.30 | Leadership Story - Embedding a Cross-Organizational Data Science Team

Ed Wiley
Chief Innovation Officer
PenLink

Ed Wiley is a senior executive with a proven record of building and leading world class data science teams at companies at stages from startup to Fortune 50.  As Chief Data Scientist for PenLink, Ltd., Ed is building a new team of engineers and mathematicians who push the envelope of big data technologies to support PenLink's best-in-class intelligence offerings.  Prior to joining PenLink, Ed served as Chief Data Scientist at Sears Holdings (NASDAQ: SHLD), where he built and led a newly-formed team that developed production-scale solutions to identify and capture $100M+ margin enhancing opportunities in the areas of pricing, offers and other sales and marketing instruments.  After receiving his PhD in Statistics and Psychological Studies at Stanford, Ed spent four years as a management consultant at McKinsey & Company, where he led engagements with senior management at top financial services and high technology organizations.  Ed is former Chair of the Research & Evaluation Methodology doctoral program at U. of Colorado, and has advised federal governmental agencies/projects in Colombia, Germany, and the U.S.

Day One

Tuesday, August 14 2018

14.20 | Panel Discussion - Designing, Structuring, Organizing & Growing a Team

Giewee Hammond
Lead Data Scientist
Aramco Services

Giewee has an extensive mathematics background which she uses to solve complex problems for Upstream E&P. She is a Lead Data Scientist for her division and has strategized and filled needs for constructing a productive advanced data analytics team to meet the demands of upstream ADA projects. Her projects are high profile, information sensitive by nature and require strategic planning with department directors. She led a company initiative on how knowledge gets managed as her company plans for attrition from its more senior employees.  She has given talks about knowledge management and sourcing the appropriate Data Scientists for assumed business problems. She enjoys empowering individuals with information that will help them to make decisions with favorable outcomes.  She holds the following master degrees: Actuarial Science and Analytics.

Day Two

Wednesday, August 15 2018

13.40 | Panel Discussion - Evolving Data Science Infrastructure & Technology Requirements

Lee Tanenbaum
Principal Data Scientist
PepsiCo

As Principal Data Scientist at PepsiCo, Lee built a team to work on ad bidding, NLP for customer insights, and marketing/supply chain optimization. Prior to PepsiCo, Lee has made a career of being a solo machine learning engineer building image detection, object recognition, recommendation engines, object tracking, and medical AI control/support algorithms since 2011. His medical AI algorithms will soon run on over 80% of in-treatment dialysis machines in the US. Lee is also an active member of the academic community, working with NYU mathematics, Langone Health, and economics professors, and lecturing for Masters/PhD courses in data science and Deep Learning. When he’s not working, you’re likely to find Lee biking, running, or teaching machine learning to aspiring entrepreneurs.

Day One

Tuesday, August 14 2018

14.20 | Panel Discussion - Designing, Structuring, Organizing & Growing a Team

Day Two

Wednesday, August 15 2018

10.10 | Panel Discussion - Measuring Value & ROI of Data Science

Tanya Cashorali
CEO/Founder
TCB Analytics

Tanya Cashorali is a founding partner of TCB Analytics, a Boston-based data consultancy. Tanya started her career in bioinformatics and has applied her experience to other industries such as healthcare, finance, retail, and sports. She brings over 10 years of experience in data science roles as well as managing and training data analysts, and she’s helped grow a handful of Boston startups. Tanya is a frequent speaker at tech and industry conferences, including Strata, rstudio::conf, and ODSC.

Day One

Tuesday, August 14 2018

15.30 | Audience Discussion - Recruitment & Retention in a Competitive Talent Market