Sign In
Get Clay Free →

Suggestions

    Frances Dahlquist

    Expert Data Scientist at Pacific Gas and Electric Company

    Professional Background

    Frances Dahlquist is an accomplished data scientist with a robust background in implementing advanced predictive and graph models. With extensive experience at Pacific Gas and Electric Company, where she served as an Expert Data Scientist, Frances has made significant contributions to customer targeting and operational efficiency through data analytics and machine learning techniques. Before her current role, she held the position of Sr. Strategic Analyst at the same company, where she applied her analytical skills to drive innovative solutions. Her career has also included a tenure as Engineering Project Manager at Sega.com, allowing her to blend technical skills with strategic project management in a dynamic environment.

    Frances holds a strong expertise in machine learning, utilizing various models such as geographic network models, differentiable neural computers from Google's Deep Mind, recursive neural networks, and several methodologies for time-series forecasting including the ARIMAX model and Holt-Winters method. Frances's proficiency in Python spans over five years, encompassing essential tasks like data extraction, transformation, and loading (ETL), file handling, and web scraping, which forms the backbone of her data manipulation skills.

    In addition to her practical skills, Frances possesses a strong mathematical foundation, with expertise in linear algebra and calculus, which further enhances her capabilities in statistical methods and data analysis. Her understanding of statistics includes maximum likelihood estimation, probability theory, and both discrete and continuous distributions, enabling her to make informed conclusions from complex datasets.

    Education and Achievements

    Frances Dahlquist pursued her education at the University of California, Berkeley, where she earned a Bachelor of Arts in Peace and Conflict Studies. This diverse academic background provides her with a unique perspective in understanding how data-driven insights can influence societal issues, particularly in contexts such as energy efficiency and customer engagement.

    Her impressive career achievements are complemented by her contributions to scholarly research, with several publications that highlight her expertise in data analytics within the energy sector. Notably, her 2018 publication titled "Magic Powers: Customer Targeting with Machine Learning" was presented in the American Council for an Energy Efficient Economy Summer Study, illustrating her ability to translate complex data analyses into actionable strategies for businesses aiming to enhance customer relationships and improve energy efficiency. Furthermore, she co-authored comprehensive papers focusing on customer targeting via usage data analytics, underscoring her commitment to leveraging analytics for public utility enhancements.

    Continuing Impact

    By integrating advanced data science techniques with strategic analysis, Frances has positioned herself as a thought leader in the data science community, particularly in energy efficiency and customer-centric analytics. She continues to employ innovative methodologies to solve real-world problems and enhance operational strategies, making her a sought-after expert in her field. With a strong dedication to ongoing learning and profound expertise, Frances Dahlquist is poised to continue making a meaningful impact in both the data science and energy sectors.

    Related Questions

    How did Frances Dahlquist develop her expertise in machine learning and data analytics?
    What impact did Frances Dahlquist's publications have on the field of energy efficiency?
    What methodologies does Frances Dahlquist prioritize when implementing predictive models?
    How has Frances Dahlquist integrated her background in Peace and Conflict Studies into her work in data science?
    What motivated Frances Dahlquist to transition from project management to data science?
    Frances Dahlquist
    Add to my network

    Location

    San Francisco, California