Projects
Publication:
“Risks in Banks and Its Impact on Volatility of Market Returns: An Empirical Approach,” by Dr. Prakash Singh and Sukriti Kumar, International Journal of Indian Culture and Business Management, Vol. 17, No. 2, 2018.
Few of my projects are as below:
- Predicting Cryptocurrency Prices using Machine Learning
- Predicting the market regime (bear,bull or neutral) we are in
- Can we predict equity volatility index volatility using ML?
- Using Augmented black Litterman to find weights of strategies
- Volatility forecasting for largest 1-day Spike
- Building a recommendation engine to optimally match takers with makers for the FX exchange Euronext.
- Building a bond RFQ(request for quote) engine using bayesian tree, bayesian reticulum as well as XGBoost.
All