


Data Science for Sustainable Development Email Formats
Civic and Social Organizations • Palatine, Illinois, United States • 21-50 Employees
Data Science for Sustainable Development Email Formats
Data Science for Sustainable Development uses 5 email formats. The most common is {first name}.{last name}@company.com (e.g., john.doe@company.com), used 45.6% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name}.{last name}@company.com | john.doe@company.com | 45.6% |
{first name initial}{last name}@company.com | {first name initial}doe@company.com | 22.3% |
{first name}@company.com | john@company.com | 15.1% |
{first name}{last name}@company.com | johndoe@company.com | 9.8% |
{first name}_{last name}@company.com | john_doe@company.com | 7.2% |
Key Contact at Data Science for Sustainable Development
Ella Brown
President
Company overview
| Headquarters | Palatine, Illinois, United States |
| Phone number | +1861585409 |
| Website | |
| NAICS | 8134 |
| Employees | 21-50 |
| Socials |
About Data Science for Sustainable Development
Data Science for Sustainable Development (DSSD) provides pro bono data science services and consultation to mission-driven organizations operating in the development and humanitarian sphere. We help organizations transform their data into meaningful deliverables and insights for positive social impact. DSSD is committed to aiding those who benefit from our services the most, with a focus on working with resource-strained nonprofits and government agencies. Together, we can leverage data science to tackle the world’s greatest challenges.
Employees by Management Level
Total employees: 21-50
Seniority
Employees
Employees by Department
Data Science for Sustainable Development has 12 employees across 2 departments.
Departments
Number of employees
Funding Data
Data Science for Sustainable Development has never raised funding before.
Data Science for Sustainable Development Tech Stack
Discover the technologies and tools that power Data Science for Sustainable Development's digital infrastructure, from frameworks to analytics platforms.
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Miscellaneous
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Frequently asked questions
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