Sujal Singh Email and Phone Number

Spearheaded Financial Modeling, attaining market gains with Annual Average return of over 13% in UK FI SONIA market• Implemented Dynamic Nelson-Siegel model using feed forward neural network to estimate coefficients for forecasting yields• Performed data preprocessing, feature engineering and exploratory data analysis on dataset of 150 features• Employed kernelPCA and t-SNE for dimensionality reduction, narrowing down to 30 key features to improve model efficiency• Managed trades based on the short, medium and long term prediction of model maintaining a P/L ratio of over 1.5• Achieved a win rate of 62% with a max drawdown of 7%• Led strategic discussions and presentations communicating market insights and trends, to foster a data driven culture

Developed Super Resolution GAN model to increase resolution of cracks on machining tools preventing fatigue failure• Pre-trained the SRGAN model, leveraging the Div2k dataset• Utilized OpenCV, NumPy, and Image libraries for image preprocessing, format handling and transformation operations• Employed Convolution Neural Network architecture and perceptual loss to prevent over-smoothing of images• Integrated five residual blocks in the model with skip connections to mitigate the vanishing gradient problem• Achieved an average PSNR value of 29.81 dB for training set images and 27.37 dB for test set images