Sayan Sanyal

data scientist @ databricks

Sayan Sanyal is a Staff Data Scientist at Databricks, based in the San Francisco Bay Area. He has an extensive background in data science and analytics, with experience at prominent tech companies and a strong academic foundation.1

Professional Experience

Sayan's career trajectory showcases his expertise in the field of data science:

Current Role: Staff Data Scientist at Databricks (Mountain View, California)
Previous Positions:
- Staff Data Scientist at Reddit, Inc. (February 2023 - Present)
- Various roles at Twitter, including Staff Data Scientist, Senior Data Scientist, and Data Scientist (July 2018 - February 2023)
- Data Science Intern at Twitter (Summer 2017)
- BI & Analytics Engineer at Thorogood Associates (2013 - 2016)

Academic Background

Sayan's educational background has prepared him well for his career in data science:

Master of Information Management and Systems (MIMS) in Data Science from UC Berkeley School of Information (2016 - 2018)
Bachelor of Engineering in Computer Science from R. V. College of Engineering, Bangalore (2009 - 2013)

Teaching Experience

During his time at UC Berkeley, Sayan served as a Graduate Student Instructor for several courses:

Data Mining & Analytics
Natural Language Processing
Data Analytics for Managers (Haas Business School)
Big Data Analytics in Healthcare

These teaching roles demonstrate his ability to communicate complex technical concepts effectively.1

Skills and Certifications

Sayan has obtained certifications that highlight his expertise:

Apache Spark Developer certification from Databricks
edX Honor Code Certificates in Introduction to Big Data with Apache Spark and Scalable Machine Learning

Languages

Sayan is multilingual, with proficiency in:

English (assumed based on work history)
French (elementary proficiency)
Hindi (full professional proficiency)
Bengali (native or bilingual proficiency)1

Sayan Sanyal's career path shows a consistent progression in the field of data science, with experience at major tech companies and a strong foundation in both practical application and academic instruction.