Work Experience
Dignity Health, Arizona, USA
Behavioral studies have consistently shown that whereas we often remember the gist of emotional stimuli, we forget the details. While research on this phenomenon has focused on well-known brain regions like the amygdala and hippocampus, my project analysed brain signals from the pulvinar, a lesser-studied region known to be involved in visual and emotional processing.
Decision Theater, Arizona, USA
Developed an LSTM time series forecasting model for predicting Valley Fever from weather data in Maricopa County, AZ. Achieved a low mean squared error (MSE), identifying optimal prediction windows upto 30 days. This project aims to help doctors and researchers predict patient load for each season, which helps prepare better for this disease
Robert Bosch Centre for Data Science & AI, India
Led a team of four to develop a lung tumor detection system using SVM and Random Forest, achieving 83% accuracy. Conducted feature analysis with random forest to identify the top 10% tumor aggression features. This healthcare project aimed to increase the speed and efficiency of tumor detection as a preliminary screening tool.
Indian Institute of Science, India
Implemented a BLSTM model for speech-to-EMG (facial muscle signals) mapping, with the accuracy metric between the generated facial signals and the ground truth being 76%. This research aimed to improve previous efforts in visualisation of facial muscle activation from speech signals, and could potentially improve EMG-Speech mapping which could be helpful for people suffering from speech disorders like Laryngectomy.