Pamela Clevenger Email & Phone Number
@pinterest.com
3 phones found area 815 and 415
LinkedIn matched
Who is Pamela Clevenger? Overview
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Pamela Clevenger is listed as Senior Manager, Product Data Science at Superhuman, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at pinterest.com, phone signal with area code 815, 415, and a matched LinkedIn profile for Pamela Clevenger.
Pamela Clevenger previously worked as Manager, Product Data Science at Grammarly and Manager, Product Data Science at Notion. Pamela Clevenger holds Doctor Of Philosophy (Ph.D.), Experimental Psychology from University Of Illinois Urbana-Champaign.
Email format at Superhuman
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AeroLeads found 1 current-domain work email signal for Pamela Clevenger. Compare company email patterns before reaching out.
About Pamela Clevenger
Pamela Clevenger is a Senior Manager, Product Data Science at Superhuman. She possess expertise in statistics, data analysis, r, experimental design, python and 18 more skills.
Listed skills include Statistics, Data Analysis, R, Experimental Design, and 19 others.
Pamela Clevenger's current company
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Pamela Clevenger work experience
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Manager, Product Data Science
Current
Manager, Product Data Science
Data Science Manager, Monetization
I led three teams of product analysts and data scientists across monetization product which were responsible for incremental revenue growth from new and existing products for advertisers and merchants.Grew team from 4 individual contributors to 12 (and an intern) within 4 months, and scaled our team operations to successfully onboard 8 team members and structure the team with healthy growth opportunities and redundancy Pivoted the team from a small group that performed reactive reporting and debugging analysis to a team that steers the product roadmap with deep analysis, predictive modeling, user segmentation, and experimentation toolingDeveloped a long-term data strategy that includes data foundations, scalable tooling, and consistent product insights
Tech Lead
Created and directed data science roadmaps, and guided a data scientist and two product analysts to deliver impactful projects for merchant and advertiser growthCreated goal metrics, advertiser segments, experiment tooling, and an early indicator metric for advertiser retention
Data Scientist - Product Analytics
Performed analyses to inform product decisions on ads targeting, ads search, and advertiser interfacesWas the first data scientist on advertiser growth when it started as a tiger team – created data projects and performed deep-dive analyses that directed the team’s strategy increase active advertisers
Fellow
Developed a predictive model of user default for a startup in Kenya that provides microloans over mobile phones Stored and cleaned company data, engineered features, built and validated random forest and logistic regression models using PostgreSQL and PythonProduced model, characterization of predictive features, and actionable insights that the company deployed Project details at: pamelaclevenger.wordpress.com
Intern
Established customer effort metrics used by the Customer Experience Research TeamDeveloped testable hypotheses and cognitive models that generated a new line of research for the Customer Experience Research TeamPresented model, metrics, and hypotheses to executives and managers at State Farm’s InnovationReady yearly event
Graduate Researcher
Designed cognitive load and visual cognition experiments that led to 3 conference talks, 2 invited talks, 3 poster presentations, and a publicationDeveloped mathematical models of visual cognitive load and validated them with follow-up experimentsCreated GUI experiments in MATLAB and analyzed data using MATLAB, R, and Python Collaborated on a neural network model of visual memory that led to a conference talk, an invited talk, and a publicationDesigned, implemented, and analyzed data from neuroscience (EEG) experiments to measure time-series brain activity to provide insights about visual cognitive load Created computer simulation in R showing how research decisions affect p-values
Graduate Instructor
Taught experimental design, data collection, and statistics (probability, correlations, t-tests, ANOVAS) to 36 undergraduates, resulting in novel experiments and results generated by the studentsCreated and delivered Introduction to Psychology lectures to 300+ students over the course of five semesters and was ranked as excellent each semesterInstructed Introduction to Psychology teachers in lecture creation and class managementAwarded 2015 Excellence in Undergraduate Teaching Distinction
Pamela Clevenger education
Doctor Of Philosophy (Ph.D.), Experimental Psychology
Master’S Degree, Experimental Psychology
Bachelor’S Degree, Psychology, English Literature, Creative Writing
Frequently asked questions about Pamela Clevenger
Quick answers generated from the profile data available on this page.
What company does Pamela Clevenger work for?
Pamela Clevenger works for Superhuman.
What is Pamela Clevenger's role at Superhuman?
Pamela Clevenger is listed as Senior Manager, Product Data Science at Superhuman.
What is Pamela Clevenger's email address?
AeroLeads has found 1 work email signal at @pinterest.com for Pamela Clevenger at Superhuman.
What is Pamela Clevenger's phone number?
AeroLeads has found 3 phone signal(s) with area code 815, 415 for Pamela Clevenger at Superhuman.
Where is Pamela Clevenger based?
Pamela Clevenger is based in San Francisco Bay Area, United States while working with Superhuman.
What companies has Pamela Clevenger worked for?
Pamela Clevenger has worked for Superhuman, Grammarly, Notion, Pinterest, and Insight Data Science.
How can I contact Pamela Clevenger?
You can use AeroLeads to view verified contact signals for Pamela Clevenger at Superhuman, including work email, phone, and LinkedIn data when available.
What schools did Pamela Clevenger attend?
Pamela Clevenger holds Doctor Of Philosophy (Ph.D.), Experimental Psychology from University Of Illinois Urbana-Champaign.
What skills is Pamela Clevenger known for?
Pamela Clevenger is listed with skills including Statistics, Data Analysis, R, Experimental Design, Python, Research, Sql, and Public Speaking.
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