Dave has held a variety of technical leadership roles in over 30 years in the software industry. He currently works as a Principal AI Architect at Microsoft, developing trustworthy AI capabilities for the Dynamics business applications. Dave recently completed an MS in Data Science from the University of Wisconsin-La Crosse.
Taimur Rashid is Chief Business Development Officer at Redis Labs, leading corporate strategy and emerging businesses with a specific focus on AI/ML. Before Redis Labs, Taimur was General Manager and Head of Customer Success at Microsoft, where he helped build one of the largest cloud focused customer success organizations in the industry. Prior to Microsoft, […]
Priyanka Roy is a Data and AI specialist for Banking, Finance, and Healthcare industries at Microsoft. Prior to Microsoft, she served as the Head of Data and AI for Intergen for more than five years.
Mark is currently a Senior Manager of Portfolio Analytics who holds degrees in Data Science, Agriculture Economics, and Animal Science. He has worked on a variety of big data and machine learning projects across the US and Latin America, including customer churn, part failures, smart cities, and NLP. He’s interested in using AI to improve business processes and […]
Holding a bachelor’s degree in Computer Science, Asim is passionate about responsibly using data to solve high-impact problems. He has worked as a Machine Learning Intern and has spent two years researching Deep Learning Security and Internet Fairness. He is currently an Associate Data Scientist at Data Science Dojo. Beyond technical experience, Asim has been […]
Eleanor is a Data Analyst with Doximity, the professional medical network for physicians. Her prior experience includes over 6 years as an options trader and quantitative researcher and a B.S. in Mathematics and Philosophy from Harvey Mudd College. She is passionate about helping students of data science take their work to the next level and also committed to leveraging data science and technology to serve nonprofit organizations and other worthy causes.
Silvia Seceleanu is a Data Scientist with over 7 years of industry experience across marketing, finance, fintech and edtech. She graduated with a B.S. in Economics from Duke University and worked for JP Morgan in New York, followed by Square in San Francisco. She now works for Udemy and helps create data products for the marketing and business organization.
Ben is a Seattle based Data Scientist & Engineer working in San Francisco, California. He has extensive experience designing ETL pipelines, databases, websites, and other software products for startups and pre-established corporations.
Sara holds a bachelor’s degree in electrical engineer and a PhD in engineering from the University of São Paulo (Brazil). She worked at IBM and is currently working with Deep Learning solutions for Shell and IBM in the Research Centre for Gas Innovation and the Center for Artificial Intelligence. She has been working as a mentor and instructor of Data Science and Machine Learning courses for over 4 years.
As a data specialist, Bushra currently works in the Health IT sector advising companies on how to use data to address critical business questions. Bushra currently works as a Data Analytics Program Manager at Doximity where she contributes both her leadership and technical skills. In addition to being an expert coder, Bushra is an active member of […]
Patrick Butler is a data scientist with background in media, marketing, and advertising. Throughout his career, he was worked within a variety of industries and companies, from small startups to Fortune 100 firms. He holds a B.A. in Psychology from Indiana University and a M.S. in Data Science from the University of Chicago. He is […]
In his current role as Vice President of Strategic Initiatives & Operations, Tom utilizes his vast knowledge on deep tech, public-private partnerships, emerging technologies, and digital transformation to successfully manage a high growth portfolio of over $5 billion representing more than 159 companies. Before joining BDC, Tom served as a Program Officer for the Bill & Melinda Gates […]
Usman is a Data Scientist at Data Science Dojo where he works on developing cloud solutions and custom machine learning course content for Data Science Dojo’s enterprise clients. Usman has bachelor’s degree in electrical engineering. He initially worked as a researcher at a R&D lab, leading and completing several projects in the domains of data […]
John is constantly amazed by the amounts of data available around us and thinks about how to squeeze the maximum amount of meaning from those data. He also thinks about how to offload as much work as possible to machines without losing accuracy. John holds a BS in Electrical Engineering and Computer Science and a BA in Cognitive Science from UC Berkeley. John worked on automatic computer virus classification using machine learning and collaborative filtering using social networks.
I am a Data Science leader, with 10+ years of extensive experience across different facets of businesses; managing data scientists, leading data science initiatives across Product, Growth, Sales, and Marketing. My experience includes defining performance metrics, designing and tracking experiments to drive product success; building machine learning models to detect anomalies, drive account prioritization for effective targeting. Led multiple successful growths and product initiatives by collaborating with Product, Engg, and Marketing teams. Experienced across e-Commerce, Technology, Logistics, and Social media domain, focusing on desktop and mobile platforms. Currently, I am leading Consumer Analytics, Customer Support, and Fraud Analytics teams at DoorDash, Inc based out of San Francisco.
Svetlana is a member of the technical staff at eBay, working as an Machine Learning Engineer in the Structured Data research team. She has also worked on the Search Frontend Applied Research Team at eBay. Prior to working at eBay, Svetlana was a Software Development Engineer at Microsoft. Svetlana holds a Ph.D. in computer science from the University of Cincinnati, and she is skilled in data mining and machine learning.
Fahad has over a decade of research, software development, and teaching experience in the area of machine learning, data mining, and distributed systems. He has worked with Bing data mining and social incubation teams on a variety of problems in bot detection, data mining, automatic detection of cause of any abnormal shift in web traffic patterns, user behavior analysis, and multi-dimensional modeling.
Raja Iqbal is a data scientist, a passionate educator, and an internationally recognized speaker on data science. Prior to Data Science Dojo, Raja worked at Microsoft in a variety of research and development roles involving machine learning and data mining at very large scale. Raja has a Ph.D in Computer Science from Tulane University with a focus on machine learning and data mining.
Ike has spent time consulting with fortune 500 companies and startups and has helped them discover and extract actionable insights from their data to drive business decisions. He has worked on a variety of problems from algorithmic trading to auction price prediction and using machine learning for intent resolution. Ike holds a Masters in Industrial & Systems Engineering and Bachelors degree in Physics and Electrical Engineering. He is excited about the possibilities that abound with the proliferation of data.
David is an experienced statistician. He specializes in using statistical analysis and mathematical modeling to aid in data-driven decision making and forecasting.