Currently work at a small dollar lender. I co-founded a subprime consumer finance company that offers leases at the point of sale. Built many cutting edge statistical models. Built the analytics departments at 2 companies. Experience with online payday, credit card, deep subprime auto lending, collections. I know data sources. Built data warehouses.

Advisor on practical usage of Machine Learning & AI. I have deep practical experience and also as a business advisor on this topic in my previous career in strategy consulting

Chief Governance Systems Architect @ United States Lab, former Product @ CasperLabs (now Prove.AI), former Head of Product @Knowledge, Founder & CEO of RecruitingScience, former Product @[x+1] now part of Amazon, @LinkShare now Rakuten Marketing, Project/Product @RichFX now ChannelAdvisor

I love to help organizations break through the barriers to applying AI and DI in practice. I've been doing this for decades, and have the scars and stories to help you. I have three CS degrees, two TEDx talks, an award-nominated book, and have appeared on CSPAN and NPR. I am recognized by the Women Innovators and Inventors Project. I've delivered machine learning for 30 years: to the Human Genome Project, the Department of Energy, the AO of the US Courts, the CBI, health care startups, NLP projects, and more.

Dynamic, technically sophisticated professional with expertise in machine learning, data mining and global data science project management and delivery. Proven ability to bridge the business/technical divide. Excel in partnership building across organisational levels, to show a clear ROI. Personable and energetic, with communication skills needed to simplify complex technical concepts.

Physician-entrepreneur with 15+ years leading medtech innovation, AI in healthcare, and digital diagnostics. Founder & CEO of Predicate AI Labs, focused on clinical surveillance and early disease detection. Former VP at Etiometry and Strategy Director at Cheetah Medical. Expertise in go-to-market, HEOR, regulatory strategy, and AI commercialization.

Entrepreneur. PhD in machine learning. Well connected in the Berlin startup scene.

Founder and President of Abbott Analytics, Inc. Data Mining and Predictive Analytics consultant, trainer, mentor, and conference speaker. Passionate about using data to improve business decisions and efficiency.

Entrepreneur, algorithm architect and big data expert. Founder of Snips.net. Specialized in discovering new products and services that can be built from existing data. BSc computer science, PhD in bioinformatics, Singularity University and THNK.org alumni.

Stephane is a serial entrepreneur who has been launching internet-related companies since 2001, after a fruitful experience at IBM as web marketing manager. On of his first venture was a pioneering social media agency, sold in 2006, which advised Fortune 100 companies. He then created Wisemetrics, a SAAS software company providing predictive social analytics to help brands improve their performance on Facebook and Twitter. The company was sold to Launchmetrics in 2015. He is currently VP Product at Launchmetrics.

Machine Learning Expert, developed various recommender systems and churn analysis Engine

PhD in statistics. I'm an expert in online ad optimization, financial modeling, and gambling. Also have extensive experience in machine learning and artificial intelligence.

Machine Learning expert (Kaggle Master), Data Science evangelist and mentor and experienced Solution Architect. Believer that machine learning can positively affect many people daily experiences. Supporter of use of open source and common sense based solutions in any type of business.

Strategic data, insight and marketing professional helping organisations harness the capabilities of their data. Sit on the regional Board of the biggest marketing body in the UK. Experience of working in a leadership position in financial services, insurance, charity and sub-prime sector.

Strategic and transformative technology and business management leader with over 20 years of record of achievement driving and sustaining change in Manufacturing IT Serving Manufacturing Clients in Automotive, Aerospace & Defense, Medical Device, and Oil & Gas Industries, providing Digital Transformation, IIoT, and Predictive Analytics software and services. https://www.linkedin.com/in/abualima/

Georgios Kourogiorgas has studied Marketing (BSc), Operational Research (MSc) and did his PhD research at the intersection of these two disciplines. His love for data analysis started during his BSc studies during which he interned as a marketing data analyst for a publishing organization. After his studies he worked for a marketing modelling agency advancing his knowledge on data analysis. He worked on econometric modelling and marketing mix modelling. His next step was to become a data scientist which he achieved by attending appropriate courses and working on classification and regression problems with techniques that stem from Machine Learning and Statistics in the fashion and retail industry. He is currently a data scientist for a marketing technology start up.

Experienced in Wireless geolocation (5 patents), Physical modeling, Video surveillance, Video-on-demand, Cable television, Air quality modeling, Medical instrumentation, Dynamic content personalization

Strategy Expert. 10 years of financial and marketing strategy. Master's degree in Information Systems and a CPA. Focus on Data-driven decisions where little data are available.

Businesses that transform their industry and the world don't depend on luck or "gut feelings." They seize every bit of information (data) available to them and use that data to feed their growth. They do this by defining a data strategy: an articulate plan for how they will extract value from the most important resource of the 21st-century business. Attempting to craft a data strategy by yourself is like trying to build a spaceship out of cardboard and duct tape. Defining your data strategy does not have to be overwhelming and you don’t have to carry that burden alone. Expected X has the expertise and practical understanding of how to define and implement a multifaceted data strategy that will position your business to successfully "win with data." From basic data management and cloud infrastructure to analytics and MLOps solutions, our partnership will allow you to improve your processes, set you up for long term success, and "wow" potential investors. Get on the phone with one of our experts and secure high-level guidance (and a clear path forward) for your data strategy & investment pitch! Expected X offers: --DataLaunch: Give your business the plan it needs for "hypergrowth" with a proven data strategy framework developed over two decades and used by multinational organizations like Microsoft, Lockheed Martin, and Booz Allen Hamilton. --Integration Services: Winning with data requires more than just a strategy. It requires the right people and skills, too. We offer professional training, organizational design consulting, and access to our "bullpen" of data scientists and machine learning engineers. Connect with us today so together we can begin your journey towards growing your 21st-century business! Book a quick chat with me: https://calendly.com/expectedx/quick-chat Web: expectedx.com Twitter: @ESukupIII Phone: 415-805-6535 Email: john@expectedx.com

15 years experience in Analytics / Data Science / Forecasting. ex-Head of Data at Fiverr (4 years), ex-Data Scientist at Facebook (2 years), currently Head of Data at Guesty. Msc in Applied Statistics from Tel Aviv University.

Learn how to systematically reduce the risk of errors, find the exact data leaks in your data system, connect the data flow, data privacy, security framework and save time for optimal clients care … Learn how to reduce the risk of errors by 80%, connect all of your clients data, ensure safe data transfer, and use the power of artificial intelligence to make the best decisions for your clients and optimize your revenue!

I am the Principal and Managing Director of Next Game Solutions, a boutique consulting firm that helps organisations to unlock the hidden value of their data. Trained to a PhD level, I have 20 years of experience in academic and industrial sectors, where I used Statistics and Machine Learning to create new knowledge and deliver measurable business outcomes.

Ph.D. in Applied Mathematics and Statistics from Johns Hopkins Univ. Masters in Computer Science and Mathematics Sciences from JHU. Software Development Engineer/Manager in CCB in China for critical bank software for 7 years. Senior Research Software Engineer in Microsoft for 3 years. Architect/Chief Data scientist for 4 years. Currently on a Chief Data Scientist position in a 150 people high tech company. World class expert in data science, machine learning theory, algorithms and practices. Expert in programming with Python, C and Scala. Expert in cloud computing. Expert in Hadoop/Hbase/Spark/Pig. Certified AWS solution architect.

Experienced and passionate data miner / analytical generalist with sound background in statistics, business intelligence, machine learning, software development, research. Open-minded person continuously seeking for inspiring people and challenging projects. Works/worked among others for eBay and Vodafone.