Mo Zhou work email
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Mo Zhou personal email
I am an efficient team player with self-motivation and curiosity. Super interested in Machine Learning and Data Analytics.I believe data can talk. We just need to find the appropriate language.
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Data ScientistNetflix Sep 2023 - PresentLos Gatos, Ca, Us -
Staff Ml ScientistCoursera Feb 2023 - Oct 2023Mountain View, Ca, Us -
Staff Data ScientistTwitter May 2022 - Feb 2023San Francisco, Ca, Us -
Sr. Data ScientistTwitter Jan 2021 - Apr 2022San Francisco, Ca, Us -
Sr. Data ScientistUber Mar 2020 - Jan 2021San Francisco, California, Us -
Data ScientistUber Jul 2018 - Mar 2020San Francisco, California, Us -
Technology LeadReady! (My Startup) Jan 2015 - Jan 20211. Developed the backend algorithm for accurate travel time prediction based on historic traffic, incidence, weather conditions and large events using Machine Learning techniques.2. Designed the relational database scheme for Ready!’s custom historic traffic database and used SQL to create queries that work effectively with the prediction algorithm.3. Implemented visualizations of the traffic conditions on the maps to alert users on potential delays, road closure, severe weather conditions and large events.
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Research AssistantUc Berkeley Aug 2015 - May 2018Berkeley, Ca, UsmPed Woman Physical Activity and Cal Fitness 1. Extracted and constructed features to represent and reduce the high dimension of the temporal exercising routine.2. Employed clustering methods to observe healthy exercising patterns and assess the effectiveness of continuous physical activity to suggest the most viable, yet healthy physical activity pattern to the next National Physical Activity Guidelines.3. Developed a dynamic goal setting algorithm using MAP models and optimization to compute customized goals for subjects based on their previous goals and steps. 4. Designed and developed an iOS app for a new field study Cal Fitness and integrated the dynamic goal setting algorithm, to test if dynamic goals will increase the subject’s physical activity level.5. Designed a field study Cal Fitness, reached out to different department and staff organizations to successfully enroll more than 50 subjects in the program.6. Designed followup studies testing the effect of customized push notification and social interaction in motivating physical activity level.7. Developed a dual control optimization model to assign subjects in two pair to maximize total competition. -
Research AssistantUc Berkeley Sep 2014 - May 2018Berkeley, Ca, UsCalifornia Report Card Team 1. Developed and modified the interface and the data structure of a python based ongoing student feedback platform, M-CAFE, which implements dimensionality reduction and collaborative filtering.2. Implemented M-CAFE in three different courses offered at UC-Berkeley, collected weekly feedback from over 500 students and analyzed data to demonstrate the effectiveness of M-CAFE in educational settings using statistical techniques. 3. Identified problems with the platform based on the case studies, provided solutions, such as using other ranking metric, to improve the effectiveness of the platform. -
Teaching AssistantUc Berkeley Aug 2013 - Dec 2015Berkeley, Ca, UsInstructed the discussion sections and labs of 3 semester-long undergraduate courses: Relational Databases: 60 students,Intro to Statistics: three times, total of 300 students.Financial Engineering: more than 300 students. -
Research AssistantUc Berkeley Sep 2014 - Sep 2015Berkeley, Ca, UsHospital Nursing Scheduling 1. Explored the usefulness of hospital nursing-unit telephone call patterns as a possible measure of resilient performance in response to variable workloads by applying complex systems and network analytic techniques.2. Employed Elastic Net modeling approach to unveil the interplay between the workload variables and the telephony variables among the five interconnected nursing units to measure relative activities between units.3. Applied Kalman Filtering method to decompose the seasonality of the time series trends for better measure of variable dependency and resilient interpretation. -
Data Scientist Summer InternAirbnb May 2017 - Aug 2017San Francisco, Ca, Us1. Analyzed the impact of the Airbnb Superbowl ad on visitors, signups and bookings using causal inference.2. Developed the power analysis framework for conducting split tests for Facebook campaigns to optimize budget allocation for social platform marketing.3. Built and validated two tree-based models to predict the short-term intent and value of new Airbnb visitors based on onsite activity, which can be used as a propensity score for customized user-level bidding in marketing campaigns. -
Data Scientist InternEbay May 2016 - Aug 2016San Jose, Ca, Us1. Developed a Content-Enhanced collaborative Filtering model to suggest potential leaf categories to publishers who are registered with the eBay Partner Network. The model relies on the past sold history and domain information to generate relevant categories for recommendation.2. Scraped text from the publishers’ registered domains and carried out textual analysis to cluster publishers by their interest.3. Built a model to recommend specific items from leaf categories by incorporating publisher’s price and brand preferences based on previous sold/click history.4. Automated the model and implemented it in weekly emails or the ePN platform for future A/B test.
Mo Zhou Skills
Mo Zhou Education Details
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University Of California, BerkeleyIndustrial Engineering And Operations Research -
University Of California, BerkeleyStatistics
Frequently Asked Questions about Mo Zhou
What company does Mo Zhou work for?
Mo Zhou works for Netflix
What is Mo Zhou's role at the current company?
Mo Zhou's current role is Data Scientist at Netflix.
What is Mo Zhou's email address?
Mo Zhou's email address is mz****@****ley.edu
What schools did Mo Zhou attend?
Mo Zhou attended University Of California, Berkeley, University Of California, Berkeley.
What skills is Mo Zhou known for?
Mo Zhou has skills like Matlab, Data Analysis, Research, Machine Learning, R, Python, Html5, Sql, Java, Bash, Ampl, Teamwork.
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