Tasked with solving the problem of reducing patient wait list and optimizing outpatient utilization.● Implemented many machine learning models to understand intricate dependencies of outpatient andinpatient activity.● Performed time series analysis and prediction using TensorFlow (Python) and ARIMA(statsmodels).● Improved activity of the trust by introducing data driven schemes● Successfully surveyed the factors responsible for decrease in the efficiency of the organization and foundsufficient measures to re-define the traditional approach.

● Key member of the data analytics project tasked with building recommender systems to help customersfind a wide selection of items and thereby increasing average revenue of the sector by 8%.● Demonstrated a strong understanding of Python and R to perform comprehensive analysis of userrecords● Recognised for driving customer expectations by providing ‘intelligent’ discounts based on multiple userselections● Designed and implemented various time series models to predict and understand customer expenditurebehaviour.● Collaborated with project managers to perform risk analysis using tableau during the COVID-19pandemic.● Transferred a section of SQL database (Approx 50 tables) into Neo4j graph database