Aditya Mishra

Working on the maternal & child health program to improve the maternal complications. Finding the districts & block level scenario’s through Exploratory data analysis. Identifying High-risk pregnancy identification during ANC. District-level ANC registration and HRP identification in poor performing divisions. Create and delivers trainings and scientific presentations.

Daily data collection through the Hospital software HIS. Cleaning the data through excel & statistical software. Extraction of data in multiple software. Using statistical tools to identify, analyze and interpret the result & make a presentation. Preparing final analysis Reports.

Played a pivotal role in the conversion of the organization’s biggest client threads in terms of dollar value. Worked directly with Chief Data Scientist to learn and implement predictive models in the client ecosystem. Used XGBoost, Ordered Probit Model, Logistic Regression, and other techniques to model for the incoming students enhancing the yield conversion at every step of the enrollment funnel. Devised and implemented a ranking algorithm to handpick students who had a higher probabilistic MSI of progressing into the next stage of student enrollment. Determined the optimal tuition grant range to be awarded to each student subsequently maximizing the Net Tuition Revenue of the university by examining all What-If Scenarios.

The objectives of the study were to examine: Status of the maternal complication against the institutional deliveries, Reporting facilities management, number of referred cases, and Fatality rates in various districts of Uttar Pradesh. Analysis concluded that 31% of Maternal Complications & Post-Partum Hemorrhage (PPH) cases occurred in the Sub-center based on district levels data set, and the highest 10% of PPH cases occurred in the “Deoria” district. Concluded that most pregnant women suffered from Obstructed & prolonged labor complications.