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Daniel O'Keeffe is listed as Staff Data Scientist at Shopify at Shopify, based in New York, New York, United States. AeroLeads shows a work email signal at shopify.com and a matched LinkedIn profile for Daniel O'Keeffe.
Daniel O'Keeffe previously worked as Staff Data Scientist at Shopify and Data Scientist III at Amazon. Daniel O'Keeffe holds Doctor Of Philosophy (Phd), Theoretical Physics from University Of Toronto.
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• Principal data scientist with over 9 years experience. • Experience in client facing data science rolls spanning multiple industries including pharmaceuticals, healthcare, insurance, brewing, energy, television media, and advertisement.• Development of machine learning models using various techniques, from problem concept, target creation, data analysis and exploration, feature engineering, model optimization, and evaluation. • Communication of data driven insights, model results, and complex subjects to key business stockholders.• Ph.D. in theoretical high energy physics.• Effective communication skills for complex subjects, demonstrated via seminar presentations, scientific and outreach writing and teaching/tutoring.• Bilingual English and French speaker.
Listed skills include Python, Statistics, Physics, Data Analysis, and 26 others.
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Ottawa, ON, CA
- Lead data scientist for Shopify Retail POS and hardware- Design, execution, and analysis of online experiments- Lead designer for Shopify POS retail marketing attribution, CAC, and LTV methodologies- Lead scientist responsible for customer intent modeling and classification- Extensive work on data platform migration and maintenance- Causal inference
Seattle, WA, US
- Lead data scientist on book/author ad campaign improvement initiative- Insight generation around ad serving stack performance gaps for books- Creation and automation of key performance metric calculation- Scientific reviewer for Amazon Machine Learning Conference 2021- Data science support and analysis of online experiments
New York, New York, US
- Lead data scientist on pharmaceutical industry engagements.- Design, development, and oversight of several machine learning projects in the pharmaceutical space including clinical trial site recommendation, drug stockout prediction, copay fraud detection, and drug email marketing campaign engagement.
New York, New York, US
– Lead data scientist on engagements spanning brewing, pharmaceuticals, and energy.– Project scoping and validation across several industries including, energy, home services, mortgage insurance, and medical services.– Conception and execution of data science intern program.
New York, New York, US
- Data science consulting across media, pharmaceutical, and insurance industries.- Lead development of predictive model for identifying insurance claim recovery resulting in over $10 million of potential revenue.- Development and proof of concept of new functionality for the SparkBeyond platform.
New York, NY, US
– Data science consulting for over a dozen major television networks– Lead development of machine learning models to predict key monetary opportunities and improve in-house product performance.– Design and implementation of optimization algorithms for TV ad placement.– Design and analysis of optimized advertisement schedules for major campaigns.
San Francisco, CA, US
-Designed Abstraction app: a recommendation engine for scientific literature. Intended to help scientists and industry experts stay on top of technical publications and facilitate literature searches.-Built on a collection of 50000 article abstracts from physics and related fields.-Implemented in Python using natural language processing (TF-IDF, LDA) and.
-Worked as a contracted consultant. -Contributed to design of proprietary algorithms used for decision engine software.-Developed extensions to the existing mathematical framework.-Worked on implementing algorithms in Python.
Toronto, Ontario, CA
- Experience in undergraduate and graduate level physics.- PHY354 (Advanced Classical Mechanics), Winter 2015 and Winter 2014. Prepared and conducted tutorial lectures, exam invigilation, grading and primary lecturer while professor was unavailable.- PHY483 (General Relativity 1), Fall 2014 and Fall 2013. Preparing and conducting tutorial lectures, exam.
Toronto, Ontario, CA
- Research related to applications of string theory to condensed matter physics.- Extensive use of advanced mathematics and software.- Production of scientific papers to disseminate results.- Results presented in seminars and presentations.- Create, plan and execute novel research projects.- Produced successful applications to various competitive.
Ottawa, On, CA
- Designed computer simulations to study soft matter physics systems.- Modelled physical phenomena related to glassy systems and disordered polymers. - Extensive programming with Python and Tcl.- Statistical analysis and interpretation of numerical results. - Results communicated via undergraduate honours thesis, seminar presentation and conference.
- Tutored students, one-on-one, in physics and mathematics.- Diverse student backgrounds included Engineering, medicine, and MBA program. - Experience with calculus (single and multivariable), electricity and magnetism, linear algebra and mathematics for MBA students.
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Daniel O'Keeffe works for Shopify.
Daniel O'Keeffe is listed as Staff Data Scientist at Shopify at Shopify.
AeroLeads has found 1 work email signal at @shopify.com for Daniel O'Keeffe at Shopify.
Daniel O'Keeffe is based in New York, New York, United States while working with Shopify.
Daniel O'Keeffe has worked for Shopify, Amazon, Sparkbeyond, Schireson, and Insight Data Science.
You can use AeroLeads to view verified contact signals for Daniel O'Keeffe at Shopify, including work email, phone, and LinkedIn data when available.
Daniel O'Keeffe holds Doctor Of Philosophy (Phd), Theoretical Physics from University Of Toronto.
Daniel O'Keeffe is listed with skills including Python, Statistics, Physics, Data Analysis, Research, Machine Learning, Mathematics, and Teaching.
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