Best Practices in Data Science
Ayush Garg is a Senior Data Scientist at Grab, Singapore. He is an alumnus of IIT Kharagpur and has previously worked at companies like Rivigo and American Express. Grab is a Singaporean multinational ride-hailing company headquartered in Queenstown, Singapore. In this session, Ayush talks about the best ways to build a career in the field of Data Science.
October 23rd 2020, Friday
Event Highlights
- Best thing about being a Data Scientist
- Approach to solving Data Science problems
- Advice for Data Science freshers
- Day-to-day life of a Data Scientist
- Role of Team Collaboration
- Message for budding Data Scientists
- Which algorithm to select?
- Are you a Generalist or a Specialist Data Scientist?
- Challenges faced by entry-level Data Scientists
- To what extent is coding important in Data Science?
- Can people from non-Computer Science background become Data Scientists?
- How to solve a real-time Data Science problem?
- How to make learning simpler?
- Desirable interview skills
- Importance of building good Communication Skills
- Most important Data Science skills
- Future of the Data Science Industry
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