Kasey Schultz, Phd

Kasey Schultz, Phd Email and Phone Number

Data Scientist | MLE | Physicist (prev: Intuit, UC Davis) @ Kaiser Permanente
oakland, california, united states
Kasey Schultz, Phd's Location
San Diego Metropolitan Area, United States
About Kasey Schultz, Phd

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.

Kasey Schultz, Phd's Current Company Details
Kaiser Permanente

Kaiser Permanente

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Data Scientist | MLE | Physicist (prev: Intuit, UC Davis)
oakland, california, united states
Employees:
120876
Kasey Schultz, Phd Work Experience Details
  • Kaiser Permanente
    Data Scientist
    Kaiser Permanente Oct 2024 - Present
    San Diego, California, United States
    ‣ Using GenAI and LLMs to improve hospital operations and patient outcomes.
  • Blue Lotus Energy Corporation
    Cso, Board Of Advisors
    Blue Lotus Energy Corporation Dec 2023 - Present
    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.
  • Intuit
    Senior Data Scientist
    Intuit May 2019 - Oct 2023
    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.
  • Bakround
    Lead Data Scientist
    Bakround Nov 2016 - Dec 2018
    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.
  • Scoutible
    Junior Data Scientist (Intern)
    Scoutible Jul 2016 - Oct 2016
    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
    Graduate Student Researcher
    University Of California, Davis Jun 2013 - Jun 2016
    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)
  • Caltech
    Summer Undergraduate Research Fellow (Surf)
    Caltech Jun 2011 - Aug 2011
    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.

Kasey Schultz, Phd Education Details

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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