Satya Borgohain is a Research Fellow with SoDa Laboratories (Social Science Insights from Alternative Data) within the Department of Business and Economics where he works in the capacity of a DevOps and Data Science researcher. He completed his Masters of Data Science at Monash University with an advanced analytics specialization and conducted research on neural network hierarchies and meta-learning as part of his minor thesis.

In general, he has a keen interest towards applied machine and deep learning paradigms and his prior experiences include working as a research assistant with SoDa Labs and as well as a full-stack developer for two years in the industry where he implemented/deployed predictive models for an in-house analytics platform.

His core areas of interest are

- Statistical/Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Data engineering, and
- Alternative data

Github   : https://github.com/syborg91
LinkedIn : https://www.linkedin.com/in/syborg/
Email    : satya.borgohain@monash.edu