Developed and implemented financial model with python to predict TESLA stock price using Facebook Prophet

Developed model to analyze product reviews data and predicted whether given product review is negative/positive by SFrame ,turicreate and logistic regression

Implemented the house prediction model to predict sales price of house based on variables by graphlab & SFrame and achieved 99% accuracy using turicreate

Developed XGBoost model to predict fraudulent transactions - financial data analysis and classification skills

Developed an ML model using Mask R-CNN, trained for 80 epochs with a batch size of 10 and learning rate of 0.00001, achieving 80% accuracy in image detection.