Passionate about data science, machine learning and quantitative modelling.
Bitcoin_Price_Prediction. Multivariate Multi Step Time Series modelling : Predicting the re-rise of bitcoin prices using RNN and optimising the model using GRU and dropout layers.
18Portfolio_Optimization. Comparing the asset allocation methodology followed through mean variance portfolio optimization (MVO) and Sharpe Ratio optimization by using the PyPortfolioOpt library in python
5SPX_Futures_Roll_Strategy. The Project aims to design the optimal monthly roll strategy for SPX futures such that we have minimum roll cost.
3Probability-Of-Default-Model. Building a machine learning model to predict the Probability of Default(Charge off) in the next month for lending club's loan portfolio.
2Trading_Strategy_Using_Satellite_Imagery_Dataset. The project predicts the stock price movement of a casino stock depending on the change in footfall
2Shreya_Vontela_Portfolio. Hi all! I am passionate about data science, machine learning and quantitative modelling. This is a summary of my projects.
1shreyav29.github.io. HTML
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