Blog

26
Jun

2019 Intro Track – Dr. Rebecca Bilbro

Dr. Rebecca Bilbro Head of Data Science ICX Media, Inc. Intro Track – Using Visual Diagnostic Tools to Gain Insight into the Model Selection Process Dr. Bilbro is a data scientist, Python and Go programmer, teacher, speaker, and author in Washington, DC. She specializes in building tailored, high-impact data products […]

26
Jun

2019 Technical Track – Neethu Elizabeth Simon

Neethu Elizabeth Simon Software Engineer Intel Corporation Technical Track – Unearth the Journey of Implementing a Vision-based Deep Learning Solution Neethu Elizabeth Simon is a Software Engineer working with Intel Corporation in the Internet of Things group. She has a Master’s Degree in Computer Science from Arizona State University. She […]

26
Jun

2019 Technical Track – Soumya Kalra

Soumya Kalra Founder RLadies New York Technical Track – Level-Up: Start Contributing to Open Source! Soumya is a quantitative analyst at the New York Federal Reserve where she focusing on developing models and tools as related to stress testing work. She has previously worked at the Securities and Exchange Commission […]

26
Jun

2019 Technical Track – Namita Lokare

Namita Lokare Senior Biomedical Algorithm Engineer LVL Technologies, Inc. Technical Track – Enhancing AI in Wearable Technology Using Topological Data Analysis Namita Lokare is a Sr. Biomedical Algorithm Engineer at LVL Technologies, Inc. She is a part of a team that focuses on the research and development of data mining […]

26
Jun

2019 Technical Track – Maryam Jahanshani

Maryam Jahanshani Research Scientist TapRecruit Technical Track – Using Embeddings to Understand the Variance & Evolution of Data Science Skill Sets Maryam runs research at TapRecruit, a NY-based startup that is developing tools to implement evidence-based talent management. TapRecruit’s research program integrate recent advances in NLP, data science and decision […]

26
Jun

2019 Technical Track – Kristen M. Altenburger

Kristen M. Altenburger Ph.D. Candidate, Computational Social Science Stanford University Technical Track – Ruffled Feathers: Trait Inference on Social Networks Beyond Homophily Kristen M. Altenburger is a PhD candidate in Computational Social Science in the Management Science & Engineering Department at Stanford University advised by Johan Ugander and is a […]

26
Jun

2019 Strategy Track – Kathleen Maley

Kathleen Maley Senior Director of Client Analytics KeyBank Strategy Track – Setting Expectations on Data Science Projects Kathleen Maley is Sr. Director of Client Analytics at KeyBank. Since joining Key in October 2017, she has focused on creating and executing an analytics agenda in partnership with Key’s lines of business. […]

26
Jun

2019 Strategy Track – Ruth Milligan

Ruth Milligan Executive Speech Coach Articulation, Inc. Strategy Track Panel Moderator – Data Science Adoption: Bringing Insights to the Business As an executive speech coach and trainer, Ruth Milligan now lives at the intersection of deep knowledge fields like science and research, to medicine and data analytics, married with speakers’ desires to […]

26
Jun

2019 Strategy Track – Jen Heider

Jen Heider Insights Analyst Huntington Strategy Track Panelist – Data Science Adoption: Bringing Insights to the Business Jen Heider loves solving problems with data. She began her career in consulting at IBM, building data science solutions in a variety of industries, including Consumer Packaged Goods, Retail, Financial Services, and Public […]

26
Jun

2019 Strategy Track – Mai AlOwaish

Mai AlOwaish Analytics Consultant Blast Analytics & Marketing Strategy Track Panelist – Data Science Adoption: Bringing Insights to the Business Mai AlOwaish is an Analytics Consultant at Blast Analytics & Marketing, specializing in implementing complex analytics configurations for websites and mobile apps. Mai has over a decade of experience in […]

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