Saurav Kaushik — Machine Learning Engineer
Saurav is a distinguished Applied Scientist/Machine Learning Engineer and a thought leader with extensive experience in competitive data science, research, open-source contributions and providing end-to-end solutions to real-world business and data problems across several domains. He's a proven result-oriented team player with an eye for detail, continuously seeking impactful problems and leveraging cutting edge data science tools and techniques to create state of the art intelligent data systems. ∙ Kaggle Profile : Among Top 1% Data Scientists in the world on Kaggle (Google). (kaggle.com/sauravkaushik8) ∙ Won Tech Crunch Disrupt 2019's sponsored hackathon (Humana) (devpost.com/software/plan-predict). ∙ Open Source Contributions: - Author and maintainer of ensembleR package in R, CRAN - Author and maintainer of pyensembler and randomaze package in Python, PyPI ∙ Speaker at: - PyData - International Data Engineering and Science Association - Julia Computing & PyData Conference - The Festival of Big Data & Cloud - IEEE - Lumini'18, Birla Institute of Technology & Science, Goa (BITS-G) - IEEE - Techloop Congress, Vellore Institute of Technology (VIT) - Artificial Intelligence Connect - The Tech Fest, Birla Institute of Technology & Science, Hyderabad (BITS-H) - Datathon, Yes Bank - CodeUtsava, NIT Raipur - HACK36, NIT Allahabad - Dattansh, Symbiosis Centre for Information Technology. - Target Talks - AI Session ∙ Authored articles : analyticsvidhya.com/blog/author/sauravkaushik8 ∙ Github : github.com/sauravkaushik8 On the personal side, he believes sharing knowledge with people and helping them realize their dreams is the best way to help someone. Contact at sauravkaushik8@gmail.com to get in touch.
Stackforce AI infers this person is a Data Science expert with a focus on SaaS and FoodTech industries.
Location: San Francisco, California, United States
Experience: 9 yrs 4 mos
Career Highlights
- Top 1% Data Scientist on Kaggle.
- Acclaimed speaker at major data science conferences.
- Winner of Tech Crunch Disrupt 2019 hackathon.
Work Experience
Uber
Staff Applied Scientist (11 mos)
Senior Applied Scientist (3 yrs 5 mos)
Applied Scientist II (1 yr 11 mos)
Applied Scientist (1 yr 10 mos)
Zomato
Scientist (9 mos)
Analytics Vidhya
Intern Data Scientist (6 mos)
Eckovation
Intern Data Scientist (2 mos)
Education
at Harvard Business School
Bachelor’s Degree at Guru Gobind Singh Indraprastha University
at Kendriya Vidyalaya