Muslim Tech Collaborative Email Formats
Contact top employees from
Muslim Tech Collaborative
- Muslim Tech Collaborative uses 5 different email formats. The most common is lastName-firstName (for example, doe-jane@mtc.so), which appears in about 54% of work addresses.
- Other common patterns include:
- lastName: doe@mtc.so (15%)
- firstName.lastName: jane.doe@mtc.so (18%)
Muslim Tech Collaborative’s Popular Email Formats
| Format | Example | Percentage |
|---|---|---|
Format lastName-firstName |  doe-jane@mtc.so | Percentage: 54% |
Format firstName.lastName | jane.doe@mtc.so | Percentage: 18% |
Format lastName | doe@mtc.so | Percentage: 15% |
Format lastNameInitialfirstName | djane@mtc.so | Percentage: 10% |
Format lastNameInitial-firstNameInitial | d-j@mtc.so | Percentage: 3% |
Contact top employees from
Muslim Tech Collaborative
Bilal MulicVice President
Hamza AliMember | Houston Chapter
0% completed
Verify Muslim Tech Collaborative Business Emails
Muslim Tech Collaborative employee email verification for instant deliverability checks.Companies Similar to Muslim Tech Collaborative
Muslim Tech Collaborative Corporate Information: FAQ
The business currently specializes in Computer Software area. Register with SignalHire to connect with Muslim Tech Collaborative employees and management.
Muslim Tech Collaborative uses 5 email formats across its organization. The most common pattern is lastName-firstName (e.g., doe-jane@mtc.so), used in approximately 54% of work addresses.
Muslim Tech Collaborative currently employs over 10-50 people from United States, with a head office in Berkeley, CA.
Data Privacy
GDPR COMPLIANT
SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
CCPA COMPLIANT
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.
