Courses:-
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
Courses:-
- Supervised Machine Learning: Regression and Classification
- Advanced Learning Algorithms
- Unsupervised Learning, Recommenders, Reinforcement Learning
- Sequences, Time Series and Prediction
This project involves the development of a high-frequency trading (HFT) strategy using Strategy Studio, a multi-asset class strategy development software. The goal is to capture market inefficiencies through rapid execution and sophisticated algorithms. The project covers the entire journey from initial concept to deployment, including rigorous backtesting, parameter optimization, and results analysis.
Link to the project
Architected Backtesting Pipelines incorporating Bash scripts, Python automation , C++ Strategy Scripts and Makefile commands for Strategy Studio. Simplified Strategy Management and Parameter Optimization to be run entirely with a single command and parameter files. Also Documented the scripts and instructions for future reference and other students.
Link to the project
This project utilises various Broker APIs to develop a custom trading engine for day trading Forex, Crypto and Equity products. The engine is capable of handling multiple strategies and deploying them in real-time. It also features a robust backtesting module and cloud deployment capabilities for live trading
This project encompasses various machine learning tasks, including Treasury Squeeze Prediction, Corporate Bond Rating Analysis, Home Price Prediction, Bond Price Prediction, Credit Card Default Prediction, Corporate Bond Credit Rating Classification, and Economic Cycle Prediction.
Link to the project
Designed, implemented, and backtested Deep Deterministic Policy Gradient (DDPG) Market Making Agent and Deep Q Network (DQN) Market Taking Agent for algorithmic trading. Utilized Strategy Studio for backtesting and validation.
Link to the project
Repository containing the code for training and fine-tuning large language models like GPT-2, GPT- Bigram, Text Tokenizer models and NLP models for text generation, and sentiment analysis.
Link to the project
Forex Trading Strategy Development and Optimisation using Quantitative Techniques for Grid & Lot Sizing Optimisation for bp trading
Link to the project
Published in Journal 1, 2009
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Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://samanvayms.github.io/files/paper1.pdf
Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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Jan 2024 - present, Chicago, IL
Jan 2023 - Aug 2023, New York, NY (remote)
Jul 2020 - Jul 2022, Bengaluru, India
