Danielle Bynoe (DanielleBynoe)

I have a diverse educational background and am eager to learn more about public health, healthcare, and to find my niche within these spaces. My professional experiences at various institutions have allowed me to work with a variety of health related data: survey, clinical and claims.

I would describe myself as someone who is interested in learning more about data, how to manage data, and how to use that data to tell accurate stories that can inform policies and practices that have real world implications. Below is a quick recap of my educational background and technical skills.

A.B. Colgate University (Cellular Neuroscience and Sociology) M.P.H. Boston University (Epidemiology)

Tableau R SAS MSSQL Python

Personal information
Full name: Danielle Bynoe
User name: DanielleBynoe
Organization memberships
Not a member of any organization.
Awards
No awards received yet.
Volunteer background
Education: Master's on Epidemiology (Boston University School of Public Health)
LinkedIn profile
Volunteer availability
Start date: Dec. 10, 2020
End date: None
Hours available per week: 7
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Python
SQL
Data in Relational Databases
Data in Text Files
Social Science (Economics, Sociology, etc.)
Data Visualization
Data Analysis
Instrumental Variables
Matching (e.g., Propensity Score Matching )
SPSS
R
SAS

Volunteer projects

No volunteer work yet.