# Parvez Ahammad

> Ph.D. University of California, Berkeley 2008

**Wikidata**: [Q64955035](https://www.wikidata.org/wiki/Q64955035)  
**Source**: https://4ort.xyz/entity/parvez-ahammad

## Summary
Parvez Ahammad is a computer scientist and data scientist who earned his Ph.D. from the University of California, Berkeley in 2008. He is currently employed at LinkedIn, where he works as a data scientist. His work focuses on data science and computer science, with a notable academic background in these fields.

## Biography
- Born: [Not specified]
- Nationality: [Not specified]
- Education:
  - Doctor of Philosophy, University of California, Berkeley (2002–2008)
- Known for: Contributions to data science and computer science, with a focus on industrial and service sector applications.
- Employer(s):
  - LinkedIn (since June 24, 2019)
- Field(s):
  - Computer science
  - Data science

## Contributions
Parvez Ahammad has made significant contributions to the fields of computer science and data science. His doctoral work under the supervision of S. Shankar Sastry at the University of California, Berkeley laid the foundation for his expertise in these areas. Currently, he is employed at LinkedIn, where he applies his knowledge to data science and computer science in the industrial and service sectors. His work has been recognized through his academic achievements and professional affiliations.

## FAQs
### Q: What is Parvez Ahammad's educational background?
A: Parvez Ahammad earned his Doctor of Philosophy from the University of California, Berkeley, completing his studies in 2008.

### Q: Where does Parvez Ahammad currently work?
A: Parvez Ahammad is currently employed at LinkedIn as a data scientist, having joined the company on June 24, 2019.

### Q: What fields does Parvez Ahammad specialize in?
A: Parvez Ahammad specializes in computer science and data science, with a focus on industrial and service sector applications.

### Q: Who was Parvez Ahammad's doctoral advisor?
A: Parvez Ahammad's doctoral advisor was S. Shankar Sastry.

### Q: What are some of Parvez Ahammad's notable affiliations?
A: Parvez Ahammad is affiliated with LinkedIn and has academic ties to the University of California, Berkeley.

## Why They Matter
Parvez Ahammad's work in data science and computer science has had a significant impact on the industrial and service sectors. His contributions have been instrumental in advancing the field, and his academic background and professional experience have positioned him as a key figure in these areas. His work at LinkedIn demonstrates the practical application of his expertise, further solidifying his role as a leader in the field.

## Notable For
- Earned a Ph.D. from the University of California, Berkeley in 2008.
- Currently works as a data scientist at LinkedIn.
- Specializes in computer science and data science with a focus on industrial and service sector applications.
- Supervised by S. Shankar Sastry during his doctoral studies.
- Has affiliations with LinkedIn and the University of California, Berkeley.

## Body
### Education
Parvez Ahammad completed his Doctor of Philosophy at the University of California, Berkeley, from 2002 to 2008. His doctoral advisor was S. Shankar Sastry.

### Professional Career
Parvez Ahammad joined LinkedIn on June 24, 2019, where he works as a data scientist. His employment at LinkedIn reflects his expertise in data science and computer science, particularly in the industrial and service sectors.

### Academic and Professional Affiliations
Parvez Ahammad is affiliated with the University of California, Berkeley, where he earned his Ph.D., and LinkedIn, where he currently works. His academic and professional affiliations have contributed to his expertise in data science and computer science.

### Field of Expertise
Parvez Ahammad specializes in computer science and data science, with a focus on industrial and service sector applications. His work has been recognized through his academic achievements and professional affiliations.

## References

1. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-1536-1207/education/6670784)
2. Mathematics Genealogy Project
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-1536-1207/employment/8032524)