Kasey Schultz, Phd Email and Phone Number
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.
Kaiser Permanente
View- Website:
- kaiserpermanente.org
- Employees:
- 120876
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Data ScientistKaiser Permanente Oct 2024 - PresentSan Diego, California, United States‣ Using GenAI and LLMs to improve hospital operations and patient outcomes. -
Cso, Board Of AdvisorsBlue Lotus Energy Corporation Dec 2023 - PresentSan 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. -
Senior Data ScientistIntuit May 2019 - Oct 2023San 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. -
Lead Data ScientistBakround Nov 2016 - Dec 2018Philadelphia, 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.
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Junior Data Scientist (Intern)Scoutible Jul 2016 - Oct 2016San 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. -
Graduate Student ResearcherUniversity Of California, Davis Jun 2013 - Jun 2016University 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) -
Summer Undergraduate Research Fellow (Surf)Caltech Jun 2011 - Aug 2011Pasadena, 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.
Kasey Schultz, Phd Education Details
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University Of California, DavisPhysics -
Physics, Mathematics
Frequently Asked Questions about Kasey Schultz, Phd
What company does Kasey Schultz, Phd work for?
Kasey Schultz, Phd works for Kaiser Permanente
What is Kasey Schultz, Phd's role at the current company?
Kasey Schultz, Phd's current role is Data Scientist | MLE | Physicist (prev: Intuit, UC Davis).
What schools did Kasey Schultz, Phd attend?
Kasey Schultz, Phd attended University Of California, Davis, University Of Miami.
Who are Kasey Schultz, Phd's colleagues?
Kasey Schultz, Phd's colleagues are Melisa Eublera, Julia Allen, Patricia Cano, Ida Maydanich, Esmeralda Delgado Ponce, Soyun Kim, Md, Darlene Ventress.
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