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Data scientist with 5+ years experience in financial services sector, working to bring machine learning and predictive analytics everywhere in the enterprise. Highly experienced in all stages of the data science lifecycle, from working with stakeholders to identify key business problems through model building, validation, deployment, and monitoring. Data detective, Pythonista, former experimental physicist, get-it-done attitude.
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Senior Data ScientistBlueowl, Llc Apr 2020 - PresentSan Francisco, California, Us -
Lead Data ScientistEsurance Oct 2018 - Apr 2020San Francisco, Ca, UsResponsible for technical and thought leadership within the data science team through both exemplary and creative individual work as well as direct supervision of a small team (anywhere from 1-4 reports depending on staffing). Important modeling and engineering work on my team:* FNOL Liability: a deep learning model for early prediction of policyholder liability, combining LSTM embeddings of free-text loss descriptions with traditional structured data fields available at first notice of loss.* Subrogation propensity: a set of models to predict likely recovery from subrogation and to help claims business optimize their work at the portfolio level.* Enhanced Major Injury Handling: NLP on adjuster notes to predict the presence of a seriously injured party on a claim to allow for intervention by senior adjusters in order to ensure proper handling of the company's most sensitive claims.* PENGUIN Monitor: automated configurable monitoring of Esurance's production predictive models to help rapidly detect and troubleshoot drift or dislocations in model performance -
Senior Data ScientistEsurance Nov 2016 - Oct 2018San Francisco, Ca, UsResponsible for independent individual analysis, ownership of key analytical, engineering, and modeling projects, and occasional supervision of junior team members. Important projects and models:* Rater: A re-invention of the company's research raters, including scalable and extremely high-speed implementations of Esurance's pricing algorithms and fast and extensible data marts to supply validated policy rating information.* New-business and renewal elasticity: conversion models to understand how historical price changes have impacted new business acquisition and retention of book; used in product management forecasting and planning for rate-stability initiatives* Policy LTV: survival / mean lifetime projections for quotes and newly incepted policies; used for critical real-time marketing decisions, expense allocation across book of business, and across the enterprise as a key business metric* Automated Interaction Detection for Pricing: a framework for automated identification of important feature interactions for pricing GLMs using GBMs and the new-at-the-time SHAP library
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Data ScientistEsurance Oct 2014 - Nov 2016San Francisco, Ca, UsResponsible for building key foundational technologies for deploying real-time analytics across the enterprise. Important projects and models:* PENGUIN: a framework for rapidly expressing predictive models as a DAG of data transformations using safe patterns suitable for high-throughput production deployment.* POI Suppression: a logistic regression to suppress proof-of-insurance follow-up on new business in pursuit of improved customer experience.* Nonpay churn: a GBM to identify newly incepted policies likely to churn due to non-payment
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Post Doc ResearcherLawrence Berkeley National Laboratory Jun 2013 - Jun 2014Berkeley, Ca, Us* Developed interactive webapps for rapid analysis of preliminary data taken by beamline users* Performed large-scale simulations to set bounds for successful CDI experiments in presence of partial transverse coherence (published PRA June 2014)* Provided numerical coding support for other group research projects -
Graduate Research AssistantUniversity Of Oregon Jun 2006 - Jun 2013Eugene, Or, Us* Extended capabilities of ALS beamline 12.0.2.2 to include diffractive imaging/fourier-transform holography experiments* Co-wrote a comprehensive python library for analysis of coherent scattering experiments* Developed novel techniques for CDI in reflection and mutual intensity measurement
Daniel Parks Skills
Daniel Parks Education Details
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University Of OregonPhysics -
Whitman CollegePhysics
Frequently Asked Questions about Daniel Parks
What company does Daniel Parks work for?
Daniel Parks works for Blueowl, Llc
What is Daniel Parks's role at the current company?
Daniel Parks's current role is Data Scientist at BlueOwl, LLC.
What is Daniel Parks's email address?
Daniel Parks's email address is dp****@****nce.com
What is Daniel Parks's direct phone number?
Daniel Parks's direct phone number is .415.875*****
What schools did Daniel Parks attend?
Daniel Parks attended University Of Oregon, Whitman College.
What skills is Daniel Parks known for?
Daniel Parks has skills like Statistics, Latex, Research, Data Analysis, Qualitative Research, Science, Python, Sql, Machine Learning, Javascript, R, Physics.
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