Data Scientist
Current‣ Using GenAI and LLMs to improve hospital operations and patient outcomes.
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Kasey Schultz, Phd is listed as Data Scientist | MLE | Physicist (prev: Intuit, UC Davis) at Kaiser Permanente, a with 120876 employees, based in San Diego Metropolitan Area, United States. AeroLeads shows a matched LinkedIn profile for Kasey Schultz, Phd.
Kasey Schultz, Phd previously worked as Data Scientist at Kaiser Permanente and CSO, Board of Advisors at Blue Lotus Energy Corporation. Kasey Schultz, Phd holds Doctor Of Philosophy (Phd), Physics from University Of California, Davis.
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Senior Data Scientist with Physics Ph.D. and seven years experience in applied Machine Learning. Proven track record in designing and deploying deep-learning NLP models at Intuit, reducing customer data entry time by 50% and saving over $100,000 annually. Expert at developing and productionizing predictive AI models at both global enterprise and startups, with six years software development and ML Ops experience. Deep data analysis knowledge, capable of delivering actionable insights from varied multimodal data sources. Effective communicator across all types of stakeholders, with a record of translating complex business objectives into data driven solutions at scale. As a versatile team player, I mentor junior team members and empower the whole team’s success. With my work, I strive to make a positive impact on the world.
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San Diego, California, United States
‣ Using GenAI and LLMs to improve hospital operations and patient outcomes.
San Diego, California, United States
‣ AI at sea: Partnering with Scripps Institute of Oceanography (UCSD) and ocean monitoring startup on wave-powered IoT devices.‣ Creating data and experimentation roadmaps for pre-seed startup developing ocean wave energy generators.
San Diego, California
• Trained and deployed deep learning models for real-time document information extraction, reducing TurboTax data entry time by 50%• Developed multimodal semantic search, reducing time to source an evaluation dataset from 3 weeks to 3 minutes and enabling multiple cross-functional partner teams to self-source data.• Trained and deployed generalized classifiers for QuickBooks that reduced the number of deployed ML models by 80%, saving over $100,000 per year on model hosting, and improved F1 score from 0.67 to 0.89.
Philadelphia, Pa
‣ Built ML system from scratch for an automated recruiting platform, reduced candidate sourcing time by 50% for healthcare recruiting clients.‣ Trained NLP models for ranking and scoring candidates against jobs. Extensive analysis of healthcare profession data.
San Francisco
‣ Trained machine learning models to predict psychometrics from mobile game play (time series data) using Google Cloud Platform and Scikit-Learn.‣ Extensive analysis and experimentation, combining psychological research with survey data for ML model improvement.
University Of California, Davis
‣ Developed high performance earthquake and tsunami simulations for hazard assessment and statistical analysis.‣ Produced geospatial models and visualizations supporting NASA JPL earth-observing satellite missions (GRACE).‣ Supported geophysics researcher around the world, developing open source scientific software (Virtual Quake)
Pasadena, Ca
‣ Data analysis and physics simulations to improve instrument calibration for the Planck collaboration (the NASA/ESA Cosmic Microwave Background satellite)‣ Leveraged the Department of Energy’s supercomputing center NERSC.
Other employees you can reach at kaiserpermanente.org. View company contacts for 120876 employees →
Perla D
Colleague at Kaiser PermanenteUnion City, California, United States
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Lynn Davis
Colleague at Kaiser PermanenteBakersfield, California, United States
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Dwayne Drockton
Colleague at Kaiser PermanenteFresno, California, United States
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Amanda Doty
Colleague at Kaiser PermanenteSacramento, California, United States
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Mayeann Acosta
Colleague at Kaiser PermanenteSan Jose, California, United States
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Jennet Prasad
Colleague at Kaiser PermanenteGreater Sacramento, United States
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Catalina Garcia
Colleague at Kaiser PermanenteVacaville, California, United States
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Truc Le
Colleague at Kaiser PermanenteSan Gabriel, California, United States
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Gina Ellis
Colleague at Kaiser PermanenteClaremont, California, United States
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Ariel Taguinod
Colleague at Kaiser PermanentePittsburg, California, United States
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Thesis: "Physics-Based Simulations of Natural Hazards", computational physics: -Lead developer for the NASA-funded Virtual Quake project..
Undergraduate research in astrophysics and statistics resulted in a publication in the Monthly Notices of the Royal Astronomical Society.
Quick answers generated from the profile data available on this page.
Kasey Schultz, Phd works for Kaiser Permanente.
Kasey Schultz, Phd is listed as Data Scientist | MLE | Physicist (prev: Intuit, UC Davis) at Kaiser Permanente.
Kasey Schultz, Phd is based in San Diego Metropolitan Area, United States while working with Kaiser Permanente.
Kasey Schultz, Phd has worked for Kaiser Permanente, Blue Lotus Energy Corporation, Intuit, Bakround, and Scoutible.
Kasey Schultz, Phd's colleagues at Kaiser Permanente include Perla D, Lynn Davis, Dwayne Drockton, Amanda Doty, and Mayeann Acosta.
You can use AeroLeads to view verified contact signals for Kasey Schultz, Phd at Kaiser Permanente, including work email, phone, and LinkedIn data when available.
Kasey Schultz, Phd holds Doctor Of Philosophy (Phd), Physics from University Of California, Davis.
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