Summary
Overview
Work History
Education
Skills
Projects
Timeline
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Camryn Tobias

San Francisco Bay Area,CA

Summary

Currently taking courses in computer science, mathematics and data science, as well as active involvement in the Outdoor Pursuits Program with the intent of gaining outdoor leadership experience. Reliable, conscientious, and interested in applying my passion for data analysis to impact the environment.

Overview

4
4
years of professional experience

Work History

Office Coordinator and Outdoor Sports Attendant

Tahoe Adventure Company
07.2023 - 09.2023
  • Filing California and Nevada state parks mandatory reports
  • Manage guest bookings including intake, processing payment and sending confirmation and evaluation emails.
  • Worked collaboratively with office staff to maintain smooth operations and team readiness for unexpected demands.
  • Provided lessons and thorough safety talks for both kayaking and paddle boarding.
  • High level of customer service, communication skills, and an overall enjoyment for working with the public outdoors.

Front of the House

The Barn
09.2019 - 06.2022
  • Managed day-to-day FOH operations to drive quality, standards, and meet customer expectations.
  • Handled complaints, settled disputes, and resolved grievances to maintain customer satisfaction.
  • Demonstrated leadership by keeping up with cleanliness and organization and delegating roles to employees.

Education

Bachelor of Science - Data Science

University of Oregon
Eugene, OR
06.2026

Skills

    Python C/C Linux Data Structures Pandas

    Linear algebra

    Esri's ArcGIS suite

    Data Visualization

    Decision Trees

    A/B Testing

Projects

Cardiovascular Disease

  • Conducted hypothesis testing, A/B testing, and bootstrapping
  • Determined that post-menopausal women using HRT exhibit a relative risk between 26% and 61% for developing CHD with 95% confidence
  • Established a notable, positive association between elevated polyunsaturated fat consumption and death rate, supported by a p-value of 0.026


Movie Classifier 

  • Utilized word-stemming methods during data cleaning to eliminate the use of various word variations, ensuring more precise results
  • Implemented linear regression to assess the correlation between features
  • Developed a distinctive K-Nearest Neighbors classifier that achieved an 80% accuracy rate on test data

Timeline

Office Coordinator and Outdoor Sports Attendant

Tahoe Adventure Company
07.2023 - 09.2023

Front of the House

The Barn
09.2019 - 06.2022

Bachelor of Science - Data Science

University of Oregon
Camryn Tobias