Strong leader and problem-solver dedicated to streamlining operations to decrease costs and promote organizational efficiency. Proficient skills in word processing, time management, and scheduling. Analytical and comfortable working in fast-paced environments with minimal oversight. Uses independent decision-making skills and sound judgment to positively impact company success.
- Conducted evaluations of over 100 resumes daily, screening 30+ candidates to identify potential matches for various roles.
- Coordinated and managed interview schedules, ensuring optimal timing and communication between candidates and hiring managers.
- Facilitated the onboarding process for 2-4 new employees daily, including preparing onboarding materials, assisting the conduction of orientation sessions, and integrating new hires into the company culture.
- Provided comprehensive briefings to new employees on benefits, insurance packages, and company policies, ensuring clarity and understanding.
- Maintained and updated employee records with a high degree of accuracy, as well as utilizing Paycom software for efficient data management and entry.
- Assisted in the preparation of HR reports and metrics, contributing to data-driven decision-making processes.
- Supported HR team with recruitment activities, including drafting job descriptions, posting job ads, and coordinating recruitment events.
Organized interviews for research on personal experiences during COVID-19. Wrote an undergraduate thesis paper on social media and the theoretical framework of Erving Goffman, consisting of conducting multiple focus groups and extensive bibliographic research. Conducted research on public opinions on certain political subjects, creating surveys using Qualtrics and administering over 150+ surveys, as well as utilizing SPSS to analyze and present overall findings.
Conducted a quantitative analysis using R Studio on the Titanic dataset to evaluate how different factors such as age, gender, ticket class, and fare paid influence passenger survival rates, identifying key variables with significant effects on survival probability.