Sayaka Kuwayama

Research Data Analyst 3 at University of California, San Diego - School of Medicine
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Contact Information
us****@****om
(386) 825-5501
Location
San Diego, California, United States, US

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Miles S.

Sayaka has been an asset to her Capstone group project. At all the meetings she came prepared to speak, was attentive, informed on the project's progress, and exuded the utmost professionalism. The results from the project were well thought out, meaningful, and relevant to the business. I would sincerely recommend Sayaka for employment in any position aligning with her skills.

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Credentials

  • Statement of Accomplishment - Intermediate R
    DataCamp
    Sep, 2020
    - Oct, 2024
  • Statement of Accomplishment - Introduction to Importing Data in R
    DataCamp
    Sep, 2020
    - Oct, 2024
  • Statement of Accomplishment - Introduction to R
    DataCamp
    Sep, 2020
    - Oct, 2024
  • Statement of Accomplishment - Introduction to the Tidyverse
    DataCamp
    Sep, 2020
    - Oct, 2024
  • Statement of Accomplishment - Pandas Foundations
    DataCamp
    Sep, 2020
    - Oct, 2024
  • Statement of Accomplishment - Regular Expressions in Python
    DataCamp
    Sep, 2020
    - Oct, 2024
  • Statement of Accomplishment - Intermediate Python
    DataCamp
    Aug, 2020
    - Oct, 2024
  • Statement of Accomplishment - Introduction to Python
    DataCamp
    Aug, 2020
    - Oct, 2024
  • Statement of Accomplishment - Introduction to Shell
    DataCamp
    Aug, 2017
    - Oct, 2024

Experience

    • United States
    • Higher Education
    • 200 - 300 Employee
    • Research Data Analyst 3
      • Feb 2022 - Present

    • United States
    • Biotechnology Research
    • 700 & Above Employee
    • Commercial Business Analyst Intern - Capstone with Rady at UC San Diego
      • Aug 2021 - Dec 2021

    • United States
    • Higher Education
    • 200 - 300 Employee
    • Data Analyst Assistant
      • Nov 2020 - Dec 2021

      • Test hypothesized associations between neurocognitive aging and interest of exposures such as renal functions • Implement survey generalized linear models (Gaussian family or binomial family and logit link), using R or Stata • Estimate and graph marginal means/ probabilities and their 95% confidence intervals to facilitate interpretation • Create interactive graphical user interface using Shiny to demonstrate the results of statistical analyses • Test hypothesized associations between neurocognitive aging and interest of exposures such as renal functions • Implement survey generalized linear models (Gaussian family or binomial family and logit link), using R or Stata • Estimate and graph marginal means/ probabilities and their 95% confidence intervals to facilitate interpretation • Create interactive graphical user interface using Shiny to demonstrate the results of statistical analyses

    • United States
    • Higher Education
    • 100 - 200 Employee
    • Presenter at Rady Employer Advisory Board
      • Jun 2021 - Jun 2021

      • Chosen from the MSBA program at Rady to represent the cohort and presented a Customer Analytics case for the board • Conducted an experiment in solicitation for credit card offerings and achieved one of the highest profits for the roll-out • Effectively justified the strategy by addressing the inability of capturing interaction effects with partial factorial • Chosen from the MSBA program at Rady to represent the cohort and presented a Customer Analytics case for the board • Conducted an experiment in solicitation for credit card offerings and achieved one of the highest profits for the roll-out • Effectively justified the strategy by addressing the inability of capturing interaction effects with partial factorial

    • United States
    • Retail
    • 700 & Above Employee
    • Casse Study Competition - winner
      • Apr 2021 - May 2021

      • Constructed more granular and accurate revenue forecasting models to complement Petco’s current models • Won the school-wide case by achieving various models and demonstrating their relative performance • Utilized Random Forest as well as Time Series models, Google Cloud Platform, and Python • Constructed more granular and accurate revenue forecasting models to complement Petco’s current models • Won the school-wide case by achieving various models and demonstrating their relative performance • Utilized Random Forest as well as Time Series models, Google Cloud Platform, and Python

    • United States
    • Advertising Services
    • 700 & Above Employee
    • Summer Marketing Intern
      • Jul 2018 - Aug 2018

      • Qualified and identified client's needs for their marketing strategies • Created/produced designs for high profile clients • Presented the final design to upper-management to be used in future projects • Qualified and identified client's needs for their marketing strategies • Created/produced designs for high profile clients • Presented the final design to upper-management to be used in future projects

Education

  • University of California, San Diego - Rady School of Management
    Master of Science - MS, Business Analytics
    2020 - 2021
  • University of California, San Diego
    Bachelor's degree, Major: International Studies Economics
  • High Bluff Academy
    2014 - 2016
  • Seikei High School

Community

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