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@pagerduty.com
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5 phones found area 940 and 425
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LinkedIn matched
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Everaldo Aguiar is listed as AI @ PagerDuty at PagerDuty, a company with 201 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at pagerduty.com, phone signal with area code 940, 425, and a matched LinkedIn profile for Everaldo Aguiar.
Everaldo Aguiar previously worked as Senior Engineering Manager, Applied AI at Pagerduty and Adjunct Lecturer at Northeastern University-Seattle. Everaldo Aguiar holds Phd, Computer Science And Engineering from University Of Notre Dame.
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AeroLeads found 1 current-domain work email signal for Everaldo Aguiar. Compare company email patterns before reaching out.
My broad professional interests are in the field of data science. More specifically, I am strongly interested in the development, deployment and assessment of predictive models to large-impact problems. As a PhD student at the University of Notre Dame, I worked on a variety of projects in the intersection of education and predictive analytics. I developed models that can be used to predict dropout risk for students in post-secondary institutions based both on academic performance and student engagement. Further, as a fellow at the Eric Schmidt Data Science for Social Good program, I worked with some of the largest school districts in the US to develop early warning systems that are capable of detecting students that are at risk of not graduating on time, thus allowing schools to intervene and improve retention rates.Specialties: Data Analytics, Machine Learning, Learning from Imbalanced Datasets, Model Evaluation, Data Visualization, and programming in Python, R.
Listed skills include Python, Machine Learning, Data Analysis, C++, and 25 others.
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A career timeline built from the work history available for this profile.
San Francisco, CA, US
I lead the Data Science Core and Machine Learning Engineering teams at PagerDuty.Our teams are responsible for the research and deployment of Machine Learning and GenerativeAI features that are embedded in multiple PD products, helping customers with automation, noise reduction, visibility and more!
Boston, MA, US
Teaching elective Data Science courses as part of the Master of Science in Computer Science curriculum. My courses cover a variety of data mining and machine learning topics, also exposing students to a wide range of Python packages that allow them to quickly create and evaluate predictive models and tools that allow these models to be productionalized.
Ottawa, ON, CA
Led the Organic Growth Data Science team, providing insight and support to a number of missions focused on topics such as SEO, experimentation, incentives, and growth loops.
Bellevue, WA, US
Led a team of Data Scientists and Engineers responsible for a large array of Machine Learning services used across the business to automate various SAP Concur customer-facing features.Among other projects, my team supported:☑ A Kubernetes/microservices based deployment pipeline used to operationalize our 40+ services across various production environments☑.
Bellevue, WA, US
ExpenseIt Pro from SAP Concur automatically turns receipt images captured using mobile devices into expenses, making it extremely easy for travelers to manage their travel and expenses on the go. I worked as part of a team of data scientists that developed, deployed, maintained and evaluated the machine learning models that afford that functionality. A.
Bellevue, WA, US
Trained, deployed and evaluated machine learning APIs for both internal and customer-facing applications. Some of my projects allowed me to learn more about:- The full scientific computing Python stack (scikit-learn, pandas, numpy, etc)- Couchbase: NoSQL Database- Kubernetes- Neural networks (Tensorflow, Keras, Theano)- Jenkins automation- Data ETL using.
Bellevue, WA, US
Developing intelligent Machine Learning models that are capable of extracting relevant information from highly unstructured data.Created automated pipelines that can train predictive models using data that is stored in Hadoop and may contain millions of instances. Assessed model performance using a wide range of contextualized metrics, and deployed.
Notre Dame, IN, US
As a PhD student at the University of Notre Dame, I worked with a large range of collaborators to tackle problems in the field of education through the informative use of student-level data, machine learning, and predictive analytics. I developed a model to detect, among first-year engineering students, who may be at risk of leaving the program. This.
Chicago, IL, US
Fellow at the Eric & Wendy Schmidt Data Science for Social Good fellowship working on the development and evaluation of models to predict student success.I joined DSSG in the summer of 2014 and began working on a very interesting project in partnership with the Montgomery County Public School system, the largest school district in Maryland with.
Other employees you can reach at pagerduty.com. View company contacts for 201 employees →
Damian Knight
Colleague at Pagerduty
Greater Sydney Area, Australia
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Dheeraj B.
Colleague at Pagerduty
San Francisco, California, United States, United States
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David Parks
Colleague at Pagerduty
Dallas, Texas, United States, United States
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Miguel Castillo Molina
Colleague at Pagerduty
Provincia De Concepción, Biobío Region, Chile, Chile
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Hans Wladimir Alegria Bravo
Colleague at Pagerduty
Santiago, Santiago Metropolitan Region, Chile, Chile
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Doug Newell
Colleague at Pagerduty
Alpharetta, Georgia, United States, United States
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Rukmini Reddy
Colleague at Pagerduty
San Francisco Bay Area, United States, United States
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Sean Steacy
Colleague at Pagerduty
Toronto, Ontario, Canada, Canada
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Marc Russo
Colleague at Pagerduty
Greater Sacramento, United States
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Fiona Thomas
Colleague at Pagerduty
Atlanta, Georgia, United States, United States
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Quick answers generated from the profile data available on this page.
Everaldo Aguiar works for PagerDuty.
Everaldo Aguiar is listed as AI @ PagerDuty at PagerDuty.
AeroLeads has found 1 work email signal at @pagerduty.com for Everaldo Aguiar at PagerDuty.
AeroLeads has found 5 phone signal(s) with area code 940, 425 for Everaldo Aguiar at PagerDuty.
Everaldo Aguiar is based in Seattle, Washington, United States while working with PagerDuty.
Everaldo Aguiar has worked for Pagerduty, Northeastern University-Seattle, Shopify, Sap Concur, and University Of Notre Dame.
Everaldo Aguiar's colleagues at PagerDuty include Damian Knight, Dheeraj B., David Parks, Miguel Castillo Molina, and Hans Wladimir Alegria Bravo.
You can use AeroLeads to view verified contact signals for Everaldo Aguiar at PagerDuty, including work email, phone, and LinkedIn data when available.
Everaldo Aguiar holds Phd, Computer Science And Engineering from University Of Notre Dame.
Everaldo Aguiar is listed with skills including Python, Machine Learning, Data Analysis, C++, Latex, Data Science, Programming, and Research.
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