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I am not currently on the job market.As a statistician, I believe thinking carefully about randomness goes a long way toward building the right model for the problem at hand.Being agnostic to specific models relates closely to another core principle guiding my work: taking a data-driven approach and letting the data speak for itself. Today's large and complex datasets contain a wealth of information; intricate narratives await a storyteller to bring them to life. This is where I seek to bring my statistical knowledge to bear in highlighting assumptions implicit in our narratives, thereby helping to ensure they will stand the test of time (and more data).-Programming: Python (scikit-learn, numpy, pandas, xgboost, tensorflow/keras), R (tidyverse, caret, glmnet, etc.)-Distributed Computing: Hadoop, Spark-Database: SQL, Hive, Presto-Visualization: matplotlib, ggplot, Looker, Tableau, Redash-misc: Docker, Airflow, Jenkins, AWS EC2, S3, EMR, etc.I'm committed to learning, growing, developing as a data scientist. Always looking for guidance on the technical front and otherwise. Happy to share when I can.
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Data ScientistBlockSingapore -
Senior Data Scientist, ExperimentationRobinhood 2021 - 2022Menlo Park, California, UsWorking on improving the quality of experimentation on Kaizen, our internal A/B testing platform -
Data ScientistNextroll, Inc. (Formerly Adroll Group) 2020 - 2021San Francisco, California, UsResponsible for "Performance Analytics" on NextRoll Platform Services. This includes major clients such as Yelp, Rakuten and SpringbotCreated dashboards, reports, alerts/monitors for internal stakeholders, including some ETL and scheduling daily workflows. Proactively identified issues both external and internal, relating to budget pacing, fulfillment, audience population, network opt-ins, etc. This improved our relationships with major clients, allowing NextRoll to increase our platform fees. -
Research Engineer - Data ScienceVerizon Media 2017 - 2019New York, New York, UsContinuation of my work at Yahoo! after the acquisition by Verizon. I worked primarily with the Yahoo! Finance product team on A/B testing, analytics and ad hoc data science projects.One major project was carrying out a thorough user segmentation study in collaboration with product managers. This foundational research facilitated subsequent work in lookalike modeling, user lifecycle studies and more targeted A/B testing. I worked extensively with data engineers on data warehousing and dashboarding to give product managers greater visibility in key metrics trends for all segments. -
Research Engineer - Data ScienceYahoo 2015 - 2017Sunnyvale, Ca, UsWorked on improving various aspects of our internal experimentation platform Evaluate. Projects included:• Led the development of Ready-to-use A/A buckets. This modifies the process of allocating users to experiment buckets in order to guarantee that pre-existing differences between buckets are small, thereby allowing experiment owners to start their A/B test immediately and bypassing 4 days of traditional A/A validation. Work presented at IEEE Big Data 2017. U.S. Patent Application 15/677724 pending.• Implemented a bucket size calculator to automatically suggest to experiment owners how large their control/test buckets should be, depending on the website being tested. This is done at the point of experiment setup in order to ensure that the A/B test has appropriate statistical power to detect changes in key metrics. -
Global Customer Insights And Analytics InternWalmart Ecommerce 2015 - 2015Bentonville, Arkansas, UsWorked on scoring Sam's club members' propensity to buy various items (price elasticity of demand). This was used as an input for targeting in numerous marketing campaigns. -
Graduate Student InstructorUc Berkeley 2014 - 2015Berkeley, Ca, Us• Conducted weekly discussion sections for 60 students enrolled in STAT 134: undergraduate probability theory and STAT 135: undergraduate theoretical statistics• Graded exams, held weekly office hours to strengthen and refine students’ conceptual understanding -
Probability And Statistics Drop-In TutorUc Berkeley 2014 - 2014Berkeley, Ca, Us• Guided undergraduates with a wide variety of academic backgrounds in probability theory and statistics
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Statistical ConsultantUc Berkeley 2014 - 2014Berkeley, Ca, Us• Advised a PhD candidate in the Sociology department on setting up and interpreting multinomial logistic regression for his dissertation on factors associated with varying levels of technology transfer in Iran• Worked with a postdoctoral scholar in the Neuroscience department in analyzing ANOVA results and adjusting for multiple hypothesis testing• Advised a postdoctoral scholar working in science education on fitting and interpreting an ordinal logistic regression
Russell Chen Skills
Russell Chen Education Details
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University Of California, BerkeleyStatistics -
Amherst CollegeMathematics And Economics
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Raffles Institution
Frequently Asked Questions about Russell Chen
What company does Russell Chen work for?
Russell Chen works for Block
What is Russell Chen's role at the current company?
Russell Chen's current role is Data Scientist.
What is Russell Chen's email address?
Russell Chen's email address is rr****@****ail.com
What is Russell Chen's direct phone number?
Russell Chen's direct phone number is (479) 273*****
What schools did Russell Chen attend?
Russell Chen attended University Of California, Berkeley, Amherst College, Raffles Institution.
What are some of Russell Chen's interests?
Russell Chen has interest in Skiing, Rock Climbing, Scuba Diving, Being Outdoors, Travel.
What skills is Russell Chen known for?
Russell Chen has skills like Statistics, Machine Learning, Statistical Modeling, R, Python, Data Mining, Mapreduce, Apache Spark, Hadoop, Sql, Data Analysis, Hive.
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