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@microsoft.com
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Ron Kohavi is listed as Vice President and Technical Fellow | Data Science, Engineering | AI, Machine Learning, Controlled Experiments | Ex-Airbnb, Ex-Microsoft, Ex-Amazon at J-Ventures Fund, based in Los Altos, California, United States. AeroLeads shows a work email signal at microsoft.com, phone signal with area code 425, 503, and a matched LinkedIn profile for Ron Kohavi.
Ron Kohavi previously worked as Consultant, Instructor at Ron Kohavi and Limited Partner Investor at J-Ventures Fund. Ron Kohavi holds Ph.D., Computer Science / Machine Learning from Stanford University.
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AeroLeads found 2 current-domain work email signals for Ron Kohavi. Compare company email patterns before reaching out.
Resume: http://www.kohavi.com/RonnyKResume.pdfConsulting and teaching. For my 10-hour live class, see https://bit.ly/ABClassRKLIOur book, Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing, co-authored with Diane Tang from Google and Ya Xu from LinkedIn is available: https://experimentGuide.com . It was translated to Chinese, Japanese, Korean, and Russian. Accomplished executive leader and technological innovator; industry leader in controlled experiments, machine learning, personalization, and AI. Leads, motivates, and mentors high-performing teams, most recently Analysis & Experimentation at Microsoft with a mission to accelerate innovation using trustworthy analysis and experimentation.Vice President and Technical Fellow at Airbnb.Previously Technical Fellow and Corporate Vice President at Microsoft, one of about 40 Technical Fellows among 250 VPs of 140,000+ Microsoft employees (<0.2%).Accelerated software innovation using trustworthy analysis and experimentation. Enabled discovery of surprising new ideas that improved the user experience and provided incremental revenue of hundreds of millions of dollars at Amazon and Microsoft. Founded Microsoft’s Experimentation Platform team, developed and grew the Analysis & Experimentation team to over 110 Data Scientists and Developers and enabled running experiments across more than 15 major Microsoft product groups. Named the 5th most influential scholar in AI and the 26th in Machine Learning (2016), I have introduced practical improvements to the theory and scale of accuracy estimation, feature selection, and controlled experiments, changes that have been published in peer-reviewed papers and implemented across the industry. With more than 42,000 citations to my published work and three machine learning papers in the top 1,000 most-cited papers in Computer Science, I am recognized as a thought leader and innovator in my field.Quora top-viewed writer in A/B testing, a frequent keynote speaker at conferences, and key developer of 15 patents in Machine Learning, Visualization, and Experimentation.
Listed skills include Data Mining, Analytics, Business Intelligence, Machine Learning, and 35 others.
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Consulting, teaching on A/B testing and controlled experiments, and how to make organizations more data-driven.For my 10-hour live class, see https://bit.ly/ABClassRKLIFor the 5-hourt advanced class, see https://bit.ly/AdvancedABRKLI
Remote, Us
The class is taught about quarterly.I taught at Sphere until 4/2023, then moved the class to Maven when Sphere shutdown live cohorts.See https://bit.ly/ABClassRKLI and https://bit.ly/AdvancedABRKLI
San Francisco, Ca, Us
VP and Technical Fellow [text below approved by Airbnb]- Led Relevance and Experimentation, a team of world-class engineers and data scientists that included two principals and ten senior staff members. The team delivered 6%+ improvements to booking conversion from about 20 successful product changes out of over 250 ideas that were tested in controlled experiments.Surfaces impacted include search, product detail page, home page, post-booking cross-sells, and email. See Improving Deep Learning for Ranking Stays at Airbnb (https://medium.com/airbnb-engineering/improving-deep-learning-for-ranking-stays-at-airbnb-959097638bde) - Improved data-driven decision making by increasing use of controlled experiments, helped design the OEC (Overall Evaluation Criterion) and OKRs (Objectives and Key Results) for multiple teams, improved experimentation processes and trust, helped build near-real-time experimentation for safe deployments, analyzed hundreds of experiments. See Designing Experimentation Guardrails (https://medium.com/airbnb-engineering/designing-experimentation-guardrails-ed6a976ec669).Consultant 3/2021-11/2021
Redmond, Washington, Us
As Distinguished Engineer and then Technical Fellow and Corporate VP, evangelized data-driven software development using rigorous controlled experiments at Microsoft, enabling improvements in user experience and surprising ideas that generated incremental revenue of hundreds of millions of dollars.Grew the experimentation platform (ExP) team to over 110 Data Scientists, Developers, and Program Managers to accelerate innovation at Microsoft through trustworthy analysis and experimentation.Platform now used to run 25,000+ experiment treatments per year (about 100 new per workday) across more than 15 major Microsoft product groups, including Bing, Edge, Exchange, Identity, MSN, Office client, Office online, Photos, Skype, Speech, Store, Teams, Windows, and Xbox. Oversee data scientists, who provide a center of excellence for analysis and experimentation for Microsoft.
Redmond, Washington, Us
Enabled trustworthy and scalable experimentation at Bing, championing metrics, processes, and algorithms that improved trust, and provided clear data for decision-making.Introduced A/A tests, correctness tests, variance reduction techniques, and Overall Evaluation Criterion (OEC) for user-experience vs. revenue tradeoff (Ship User Value). Designed and helped execute an important slowdown experiment that showed the value of performance for Bing: each 10msec improvement in server performance generates incremental profit to fund an engineer.
Redmond, Washington, Us
Founded the Experimentation Platform team, later merged into Bing, enabling the scalable execution and analysis of controlled experiments on websites and services at Microsoft.Hired and led the original ExP team from its inception to 50 high-performing members in Dev, Test, PM, Analyst, Ops, and Support teams, including six principal-level team members.
Seattle, Wa, Us
Headed multiple teams, including ad automation (SEO/SEM), consumer behavior/data mining, site experimentation, automated email, and two personalization teams. Introduced multiple features with total incremental revenue of several hundred million dollars. Grew Amazon’s Data Mining & Personalization organization from about 50 to over 90 people.
Vice President, Business Intelligence: Led the Analytic Services and Business Intelligence Sales Demo teams throughout Blue Martini’s IPO (2001). Senior Director, Data Mining Applications: Led engineering team responsible for data collection, transfer (ETL), analysis, reporting, visualization, and campaign management for Blue Martini’s product suite. Designed, architected, and performed initial Java coding for data mining, reporting, and transfer models.Joined the startup as employee #10.
Milpitas, Ca, Us
Manager, MineSet, Silicon Graphics Inc. Managed the MineSet data mining and visualization engineering team of 15.
Manager (lieutenant), Israeli Defense ForcesManaged 12 people at a computer center in a large army base in Israel.
Programmer, International Software, Tel-Aviv, Israel. Developed a database application generator, IRIS, while in high school.The program was sold commercially, including sales to the Israeli Defense Forces.
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Ron Kohavi works for J-Ventures Fund.
Ron Kohavi is listed as Vice President and Technical Fellow | Data Science, Engineering | AI, Machine Learning, Controlled Experiments | Ex-Airbnb, Ex-Microsoft, Ex-Amazon at J-Ventures Fund.
AeroLeads has found 2 work email signals at @microsoft.com for Ron Kohavi at J-Ventures Fund.
AeroLeads has found 2 phone signal(s) with area code 425, 503 for Ron Kohavi at J-Ventures Fund.
Ron Kohavi is based in Los Altos, California, United States while working with J-Ventures Fund.
Ron Kohavi has worked for Ron Kohavi, J-Ventures Fund, Maven, Airbnb, and Microsoft.
You can use AeroLeads to view verified contact signals for Ron Kohavi at J-Ventures Fund, including work email, phone, and LinkedIn data when available.
Ron Kohavi holds Ph.D., Computer Science / Machine Learning from Stanford University.
Ron Kohavi is listed with skills including Data Mining, Analytics, Business Intelligence, Machine Learning, Big Data, Software Engineering, Scalability, and Software Development.
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