SAYAN ANDREWS
Los Altos,CA
Summary
Internship position in any industry application of data science and analytics. Willing to relocate.
Hardworking and passionate job seeker with strong organizational skills eager to secure internship or entry-level data science/analyst position. Ready to help team achieve company goals.
Talented individual with demonstrated experience providing administrative support services. Experienced in using variety of software applications and calendar management. Excellent communication and interpersonal skills.
Overview
5
5
years of professional experience
Work History
Web Migration Assistant
UCSB College of Letters and Sciences
08.2023 - Current
Migrating UCSB websites from Drupal 7 to Drupal 9.
- Managed data and correspondence to secure information across complex landscapes of organizational departments.
- Safeguarded sensitive information through proper documentation handling, data entry, and record maintenance procedures.
- Facilitated smooth project execution by managing deadlines, resources allocation, and progress updates.
- Mitigated risks by identifying potential challenges within projects and proposing relevant solutions proactively.
- Demonstrated adaptability by quickly mastering new software applications as needed for various tasks/projects.
- Reviewed and edited documents for accuracy, grammar and clarity.
Camp Counselor
KidZ to Pros
06.2021 - 08.2021
- Teaching Robotics and Programming.
Camp Counselor
Bald Eagle Sports Camp
06.2019 - 08.2019
- Sports counselor for basketball.
Education
Bachelor of Science in Statistics and Data Science -
UC Santa Barbara
06.2025
High School Diploma -
Los Altos High School
06.2021
Skills
- Python
- R
- Statistical Machine Learning
- Tableau
- Excel
- Pandas
- Drupal
- Math
- Data Entry
- Time Management
- Team Collaboration
- Computer Skills
Activities
- Member of Data Science Club, UCSB, 2022, Present
- Intramural basketball, UCSB
Projects
Data Academy, Used R to visualize and analyze poll data of US presidential elections in 2016 and 2020. Compared poll results for key states between those years. Real-world Heart Patient Data Project, Used R to visualize and analyze a dataset of heart patients with many predictor variables. Evaluated several machine learning models, such as logistic, linear discriminant analysis, quadratic analysis model, and K-nearest neighbors model, to find best fit for the data. Used random forests for tuning and cross validation. Global Emissions Report, Used Python techniques including Pandas, Seaborn, and Matplotlib to visualize and analyze a dataset of emissions of each country in each year from 1990 to 2019.
Timeline
Web Migration Assistant
UCSB College of Letters and Sciences
08.2023 - Current
Camp Counselor
KidZ to Pros
06.2021 - 08.2021
Camp Counselor
Bald Eagle Sports Camp
06.2019 - 08.2019
Bachelor of Science in Statistics and Data Science -
UC Santa Barbara
High School Diploma -
Los Altos High School