CV
Basics
| Name | Jayabrata Chowdhury |
| Jayabratac@iisc.ac.in |
Education
-
2019.08 - Present PhD
Indian Institute of Science, Bangalore
Applied Machine Learning
- Linear Algebra
- Stochastic Models and Applications
- Computational Methods of Optimization
- Machine Learning
- Introduction to Deep Learning
- Deep Reinforcement Learning
- Topics in Neural Computation
-
2014.07 - 2018.08
Awards
- 2023.07.07
Gold Level Certificate at WorldQuant Challenge
WorldQuant LLC
Developed statistical trading methods (alphas) using WorldQuant's proprietary online financial market simulation platform WorldQuant Brain. Based on performance, achieved Gold Level.
- 2023.06.30
Qualcomm Innovation Fellowship
Qualcomm
Algorithm development for uncertainty-based predictive planning in unseen scenarios
- 2022.07.30
Best Poster Award in 6th Annual Symposium on Cyber-Physical Systems
Indian Institute of Science
Unsupervised skill learning algorithm for autonomous vehicles
- 2021.10.15
RBCCPS PhD Fellowship
Indian Institute of Science
Fellowship for predictive planning algorithm development
Certificates
| Uncertainty Quantification for Risk-Informed Decision Making | ||
| Axis Bank Centre for Mathematics and Computing | 2023-12-15 |
| Machine Learning Specialization | ||
| Stanford Online and DeepLearning.AI | 2023-05-28 |
| Visual Perception for Self-Driving Cars | ||
| University of Toronto | 2023-03-19 |
| Python and Statistics for Financial Analysis | ||
| Hong Kong University of Science and Technology | 2022-12-05 |
| Introduction to Self-Driving Cars | ||
| University of Toronto | 2022-11-30 |
| Natural Language Processing with Classification and Vector Spaces | ||
| DeepLearning.AI | 2022-04-23 |
| Introduction to Intel Distribution of OpenVINO toolkit for Computer Vision Applications | ||
| Intel | 2021-05-23 |
| Robot Operating System: File system, Topics and Services | ||
| Artificial Intelligence and Robotics Park (ARTPARK), Bangalore | 2021-05-15 |
Skills
| Machine Learning | |
| Deep Learning | |
| Reinforcement Learning | |
| Natural Language Processing | |
| Probabilistic Modelling and Analysis |
| Programming Language | |
| Python | |
| C++ |
| Machine Learning related libraries | |
| Numpy | |
| PyTorch | |
| OpenAI Gym | |
| HuggingFace | |
| Pytorch Lightning |
| Software Utilities | |
| Git | |
| Visual Studio Code | |
| LATEX | |
| MATLAB |
| Operating System | |
| Linux | |
| Windows |
Languages
| English | |
| Fluent |
| Bengali | |
| Native speaker |
Interests
| Machine Learning | |
| Natural Language Processing | |
| Graph Machine Learning | |
| Reinforcement Learning | |
| Meta-Learning |
| Analytics and intelligent decision making | |
| Predictive analysis | |
| Recommendation systems | |
| Autonomous systems | |
| Data Science |